메뉴 건너뛰기




Volumn , Issue , 2008, Pages 1065-1094

Convolutive Blind Source Separation Methods

Author keywords

Blind Source Separation; Finite Impulse Response; Independent Component Analysis; Source Separation

Indexed keywords


EID: 85075933252     PISSN: 25228692     EISSN: 25228706     Source Type: Book Series    
DOI: 10.1007/978-3-540-49127-9_52     Document Type: Chapter
Times cited : (87)

References (302)
  • 1
    • 33745725582 scopus 로고    scopus 로고
    • Blind separation of underwater acoustic signals
    • pp
    • A. Mansour, N. Benchekroun, C. Gervaise: Blind separation of underwater acoustic signals, ICA’06 (2006) pp. 181–188
    • (2006) ICA’06 , pp. 181-188
    • Mansour, A.1    Benchekroun, N.2    Gervaise, C.3
  • 3
    • 4544375071 scopus 로고    scopus 로고
    • MIMO blind deconvoluition using subspace-based filter deflation, Proc
    • Vol., pp
    • K.I. Diamantaras, T. Papadimitriou: MIMO blind deconvoluition using subspace-based filter deflation, Proc. ICASSP’04, Vol. 4 (2004) pp. 433–436
    • (2004) ICASSP’04 , vol.4 , pp. 433-436
    • Diamantaras, K.I.1    Papadimitriou, T.2
  • 4
    • 0002375263 scopus 로고    scopus 로고
    • Blind source separation and analysis of multispectral astronomical images
    • D. Nuzillard, A. Bijaoui: Blind source separation and analysis of multispectral astronomical images, Astron. Astrophys. Suppl. Ser. 147, 129–138 (2000)
    • (2000) Astron. Astrophys. Suppl. Ser. , vol.147 , pp. 129-138
    • Nuzillard, D.1    Bijaoui, A.2
  • 5
    • 0242578049 scopus 로고    scopus 로고
    • Complex independent component analysis of frequency-domain electroencephalographic data
    • J. Anemüller, T.J. Sejnowski, S. Makeig: Complex independent component analysis of frequency-domain electroencephalographic data, Neural Netw. 16(9), 1311–1323 (2003)
    • (2003) Neural Netw , vol.16 , Issue.9 , pp. 1311-1323
    • Anemüller, J.1    Sejnowski, T.J.2    Makeig, S.3
  • 6
    • 33745697517 scopus 로고    scopus 로고
    • Model structure selection in convolutive mixtures
    • pp
    • M. Dyrholm, S. Makeig, L.K. Hansen: Model structure selection in convolutive mixtures, ICA’06 (2006) pp. 74–81
    • (2006) ICA’06 , pp. 74-81
    • Dyrholm, M.1    Makeig, S.2    Hansen, L.K.3
  • 7
    • 33745711510 scopus 로고    scopus 로고
    • Performance study of convolutive BSS algorithms applied to the electrocardiogram of atrial fibrillation
    • pp
    • C. Vayá, J.J. Rieta, C. Sánchez, D. Moratal: Performance study of convolutive BSS algorithms applied to the electrocardiogram of atrial fibrillation, ICA’06 (2006) pp. 495–502
    • (2006) ICA’06 , pp. 495-502
    • Vayá, C.1    Rieta, J.J.2    Sánchez, C.3    Moratal, D.4
  • 9
    • 80052339383 scopus 로고
    • Some experiments on the recognition of speech, with one and two ears
    • E.C. Cherry: Some experiments on the recognition of speech, with one and two ears, J. Acoust. Soc. Am. 25(5), 975–979 (1953)
    • (1953) J. Acoust. Soc. Am. , vol.25 , Issue.5 , pp. 975-979
    • Cherry, E.C.1
  • 10
    • 22944480530 scopus 로고    scopus 로고
    • The cocktail party problem
    • S. Haykin, Z. Chen: The cocktail party problem, Neural Comput. 17, 1875–1902 (2005)
    • (2005) Neural Comput , vol.17 , pp. 1875-1902
    • Haykin, S.1    Chen, Z.2
  • 12
    • 0029733117 scopus 로고    scopus 로고
    • Blind signal separation II. Linear convolutive combinations
    • K.J. Pope, R.E. Bogner: Blind signal separation II. Linear convolutive combinations, Digital Signal Process. 6, 17–28 (1996)
    • (1996) Digital Signal Process , vol.6 , pp. 17-28
    • Pope, K.J.1    Bogner, R.E.2
  • 13
    • 0002343530 scopus 로고    scopus 로고
    • Blind separation for audio signals – are we there yet?
    • pp
    • K. Torkkola: Blind separation for audio signals – are we there yet?, ICA’99 (1999) pp. 239–244
    • (1999) ICA’99 , pp. 239-244
    • Torkkola, K.1
  • 14
    • 0001151609 scopus 로고    scopus 로고
    • Blind separation of delayed and convolved sources
    • ed. by S. HaykinWiley, New York, Chap. 8
    • K. Torkkola: Blind separation of delayed and convolved sources. In: Unsupervised Adaptive Filtering, Blind Source Separation, Vol. 1, ed. by S. Haykin (Wiley, New York 2000) pp. 321–375, Chap. 8
    • (2000) Unsupervised Adaptive Filtering, Blind Source Separation , vol.1 , pp. 321-375
    • Torkkola, K.1
  • 15
    • 0006145857 scopus 로고    scopus 로고
    • A system-theoretic foundation for blind signal separation of MIMO-FIR convolutive mixtures-a review
    • pp
    • R. Liu, Y. Inouye, H. Luo: A system-theoretic foundation for blind signal separation of MIMO-FIR convolutive mixtures-a review, ICA’00 (2000) pp. 205–210
    • (2000) ICA’00 , pp. 205-210
    • Liu, R.1    Inouye, Y.2    Luo, H.3
  • 19
    • 0011727055 scopus 로고    scopus 로고
    • Blind separation of acoustic signals
    • ed. by M.S. Brandstein, D.B. WardSpringer, Berlin, Heidelberg, Chap. 16
    • S.C. Douglas: Blind separation of acoustic signals. In: Microphone Arrays, ed. by M.S. Brandstein, D.B. Ward (Springer, Berlin, Heidelberg 2001) pp. 355–380, Chap. 16
    • (2001) Microphone Arrays , pp. 355-380
    • Douglas, S.C.1
  • 21
    • 25444508285 scopus 로고    scopus 로고
    • Survey of sparse and non-sparse methods in source separation
    • P.D. O’Grady, B.A. Pearlmutter, S.T. Rickard: Survey of sparse and non-sparse methods in source separation, IJIST 15, 18–33 (2005)
    • (2005) IJIST , vol.15 , pp. 18-33
    • O’Grady, P.D.1    Pearlmutter, B.A.2    Rickard, S.T.3
  • 22
    • 26044473134 scopus 로고    scopus 로고
    • Blind source separation of convolutive mixtures of speech in frequency domain
    • S. Makino, H. Sawada, R. Mukai, S. Araki: Blind source separation of convolutive mixtures of speech in frequency domain, IEICE Trans. Fundamentals E88-A(7), 1640–1655 (2005)
    • (2005) IEICE Trans. Fundamentals , vol.E88-A , Issue.7 , pp. 1640-1655
    • Makino, S.1    Sawada, H.2    Mukai, R.3    Araki, S.4
  • 25
    • 0031234388 scopus 로고    scopus 로고
    • Subspace based techniques for second order blind separation of convolutive mixtures with temporally correlated sources
    • A. Gorokhov, P. Loubaton: Subspace based techniques for second order blind separation of convolutive mixtures with temporally correlated sources, IEEE Trans. Circ. Syst. 44(9), 813–820 (1997)
    • (1997) IEEE Trans. Circ. Syst. , vol.44 , Issue.9 , pp. 813-820
    • Gorokhov, A.1    Loubaton, P.2
  • 26
    • 0029354468 scopus 로고
    • Blind source separation for convolutive mixtures
    • H.-L. Nguyen Thi, C. Jutten: Blind source separation for convolutive mixtures, Signal Process. 45(2), 209–229 (1995)
    • (1995) Signal Process , vol.45 , Issue.2 , pp. 209-229
    • Nguyen Thi, H.-L.1    Jutten, C.2
  • 27
    • 0001851072 scopus 로고    scopus 로고
    • Adaptive blind separation of speech signals: Cocktail party problem
    • pp
    • S. Choi, A. Cichocki: Adaptive blind separation of speech signals: Cocktail party problem, ICSP’97 (1997) pp. 617–622
    • (1997) ICSP’ , vol.97 , pp. 617-622
    • Choi, S.1    Cichocki, A.2
  • 28
    • 0032625141 scopus 로고    scopus 로고
    • A hybrid learning approach to blind deconvolution of linear MIMO systems
    • S. Choi, A. Cichocki: A hybrid learning approach to blind deconvolution of linear MIMO systems, Electron. Lett. 35(17), 1429–1430 (1999)
    • (1999) Electron. Lett. , vol.35 , Issue.17 , pp. 1429-1430
    • Choi, S.1    Cichocki, A.2
  • 30
    • 0018494073 scopus 로고
    • Invertibility of a room impulse response
    • S.T. Neely, J.B. Allen: Invertibility of a room impulse response, J. Acoust. Soc. Am. 66(1), 165–169 (1979)
    • (1979) J. Acoust. Soc. Am. , vol.66 , Issue.1 , pp. 165-169
    • Neely, S.T.1    Allen, J.B.2
  • 31
    • 27644537675 scopus 로고    scopus 로고
    • Blind channel identification-based two-stage approach to separation and dereverberation of speech signals in a reverberant environment
    • Y.A. Huang, J. Benesty, J. Chen: Blind channel identification-based two-stage approach to separation and dereverberation of speech signals in a reverberant environment, IEEE Trans. Speech Audio Process. 13(5), 882–895 (2005)
    • (2005) IEEE Trans. Speech Audio Process. , vol.13 , Issue.5 , pp. 882-895
    • Huang, Y.A.1    Benesty, J.2    Chen, J.3
  • 32
    • 33645935091 scopus 로고    scopus 로고
    • Identification of acoustic MIMO systems: Challenges and opportunities
    • Y. Huang, J. Benesty, J. Chen: Identification of acoustic MIMO systems: Challenges and opportunities, Signal Process. 86, 1278–1295 (2006)
    • (2006) Signal Process , vol.86 , pp. 1278-1295
    • Huang, Y.1    Benesty, J.2    Chen, J.3
  • 33
    • 0141743695 scopus 로고    scopus 로고
    • Blind separation of convolutive mixtures based on second order and third order statistics
    • Z. Ye, C. Chang, C. Wang, J. Zhao, F.H.Y. Chan: Blind separation of convolutive mixtures based on second order and third order statistics, Proc. ICASSP’03, Vol. 5 (2003) pp. V–305, –308
    • (2003) Proc. ICASSP’03 , vol.5
    • Ye, Z.1    Chang, C.2    Wang, C.3    Zhao, J.4    Chan, F.H.Y.5
  • 34
    • 0742303642 scopus 로고    scopus 로고
    • Blind identification of MIMO FIR systems driven by qua-sistationary sources using second-order statistics: A frequency domain approach
    • K. Rahbar, J.P. Reilly, J.H. Manton: Blind identification of MIMO FIR systems driven by qua-sistationary sources using second-order statistics: A frequency domain approach, IEEE Trans. Signal Process. 52(2), 406–417 (2004)
    • (2004) IEEE Trans. Signal Process. , vol.52 , Issue.2 , pp. 406-417
    • Rahbar, K.1    Reilly, J.P.2    Manton, J.H.3
  • 35
    • 0029769893 scopus 로고    scopus 로고
    • Multichannel signal separation: Methods and analysis
    • D. Yellin, E. Weinstein: Multichannel signal separation: Methods and analysis, IEEE Trans. Signal Process. 44(1), 106–118 (1996)
    • (1996) IEEE Trans. Signal Process. , vol.44 , Issue.1 , pp. 106-118
    • Yellin, D.1    Weinstein, E.2
  • 36
    • 0035424295 scopus 로고    scopus 로고
    • Frequency domain blind MIMO system identification based on second-and higher order statistics
    • B. Chen, A.P. Petropulu: Frequency domain blind MIMO system identification based on second-and higher order statistics, IEEE Trans. Signal Process. 49(8), 1677–1688 (2001)
    • (2001) IEEE Trans. Signal Process. , vol.49 , Issue.8 , pp. 1677-1688
    • Chen, B.1    Petropulu, A.P.2
  • 37
    • 0036297207 scopus 로고    scopus 로고
    • Blind identification of complex convolutive MIMO systems with 3 sources and 2 sensors
    • Vol.,) pp
    • B. Chen, A.P. Petropulu, L.D. Lathauwer: Blind identification of complex convolutive MIMO systems with 3 sources and 2 sensors, Proc. ICASSP’02, Vol. II (2002) pp. 1669–1672
    • (2002) Proc. ICASSP’02 , vol.2 , pp. 1669-1672
    • Chen, B.1    Petropulu, A.P.2    Lathauwer, L.D.3
  • 39
    • 85075909239 scopus 로고    scopus 로고
    • On the identification of certain noisy FIR convolutive mixtures
    • W. Hachem, F. Desbouvries, P. Loubaton: On the identification of certain noisy FIR convolutive mixtures, ICA’99 (1999)
    • (1999) ICA’99
    • Hachem, W.1    Desbouvries, F.2    Loubaton, P.3
  • 40
    • 0033882277 scopus 로고    scopus 로고
    • Adaptive subspace algorithm for blind separation of independent sources in convolutive mixture
    • A. Mansour, C. Jutten, P. Loubaton: Adaptive subspace algorithm for blind separation of independent sources in convolutive mixture, IEEE Trans. Signal Process. 48(2), 583–586 (2000)
    • (2000) IEEE Trans. Signal Process. , vol.48 , Issue.2 , pp. 583-586
    • Mansour, A.1    Jutten, C.2    Loubaton, P.3
  • 41
    • 0029725973 scopus 로고    scopus 로고
    • Adaptive blind separation of convolutive mixtures
    • pp
    • N. Delfosse, P. Loubaton: Adaptive blind separation of convolutive mixtures, Proc. ICASSP’96 (1996) pp. 2940–2943
    • (1996) Proc. ICASSP’96 , pp. 2940-2943
    • Delfosse, N.1    Loubaton, P.2
  • 42
    • 0034229090 scopus 로고    scopus 로고
    • Adaptive blind separation of independent sources: A second-order stable algorithm for the general case
    • N. Delfosse, P. Loubaton: Adaptive blind separation of independent sources: A second-order stable algorithm for the general case, IEEE Trans. Circ. Syst.–I: Fundamental Theory Appl. 47(7), 1056–1071 (2000)
    • (2000) IEEE Trans. Circ. Syst.–I: Fundamental Theory Appl. , vol.47 , Issue.7 , pp. 1056-1071
    • Delfosse, N.1    Loubaton, P.2
  • 43
    • 84891321355 scopus 로고    scopus 로고
    • A prediction matrix approach to convolutive ICA
    • pp
    • L.K. Hansen, M. Dyrholm: A prediction matrix approach to convolutive ICA, NNSP’03 (2003) pp. 249–258
    • (2003) NNSP’03 , pp. 249-258
    • Hansen, L.K.1    Dyrholm, M.2
  • 44
    • 0034503817 scopus 로고    scopus 로고
    • Blind identifiability of FIR-MIMO systems with colored input using second order statistics
    • Y. Hua, J.K. Tugnait: Blind identifiability of FIR-MIMO systems with colored input using second order statistics, IEEE Signal Process. Lett. 7(12), 348– 350 (2000)
    • (2000) IEEE Signal Process. Lett. , vol.7 , Issue.12 , pp. 348-350
    • Hua, Y.1    Tugnait, J.K.2
  • 45
    • 3142694930 scopus 로고    scopus 로고
    • Blind separation of speech mixtures via time-frequency masking
    • O. Yilmaz, S. Rickard: Blind separation of speech mixtures via time-frequency masking, IEEE Trans. Signal Process. 52(7), 1830–1847 (2004)
    • (2004) IEEE Trans. Signal Process. , vol.52 , Issue.7 , pp. 1830-1847
    • Yilmaz, O.1    Rickard, S.2
  • 47
    • 26044451875 scopus 로고    scopus 로고
    • Underdetermined blind separation og convolutive mixtures of speech using time-frequency mask and mixing matrix estimation
    • A. Blin, S. Araki, S. Makino: Underdetermined blind separation og convolutive mixtures of speech using time-frequency mask and mixing matrix estimation, IEICE Trans. Fundamentals E88-A(7), 1693–1700 (2005)
    • (2005) IEICE Trans. Fundamentals , vol.E88-A , Issue.7 , pp. 1693-1700
    • Blin, A.1    Araki, S.2    Makino, S.3
  • 48
    • 0033881894 scopus 로고    scopus 로고
    • Blind Two-Input-TwoOutput FIR Channel Identification based on frequency domain second-order statistics
    • K.I. Diamantaras, A.P. Petropulu, B. Chen: Blind Two-Input-TwoOutput FIR Channel Identification based on frequency domain second-order statistics, IEEE Trans. Signal Process. 48(2), 534–542 (2000)
    • (2000) IEEE Trans. Signal Process. , vol.48 , Issue.2 , pp. 534-542
    • Diamantaras, K.I.1    Petropulu, A.P.2    Chen, B.3
  • 49
    • 0030676410 scopus 로고    scopus 로고
    • Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models
    • Vol., pp
    • E. Moulines, J.-F. Cardoso, E. Cassiat: Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models, Proc. ICASSP’97, Vol. 5 (1997) pp. 3617–3620
    • (1997) Proc. ICASSP’97 , vol.5 , pp. 3617-3620
    • Moulines, E.1    Cardoso, J.-F.2    Cassiat, E.3
  • 50
    • 0032123956 scopus 로고    scopus 로고
    • Source separation using a criterion based on second-order statistics
    • U.A. Lindgren, H. Broman: Source separation using a criterion based on second-order statistics, IEEE Trans. Signal Process. 46(7), 1837–1850 (1998)
    • (1998) IEEE Trans. Signal Process. , vol.46 , Issue.7 , pp. 1837-1850
    • Lindgren, U.A.1    Broman, H.2
  • 51
    • 0033077465 scopus 로고    scopus 로고
    • Source separation: A TITO system identification approach
    • H. Broman, U. Lindgren, H. Sahlin, P. Stoica: Source separation: A TITO system identification approach, Signal Process. 73(1), 169–183 (1999)
    • (1999) Signal Process , vol.73 , Issue.1 , pp. 169-183
    • Broman, H.1    Lindgren, U.2    Sahlin, H.3    Stoica, P.4
  • 52
    • 0033871830 scopus 로고    scopus 로고
    • MIMO signal separation for FIR channels: A criterion and performance analysis
    • H. Sahlin, H. Broman: MIMO signal separation for FIR channels: A criterion and performance analysis, IEEE Trans. Signal Process. 48(3), 642–649 (2000)
    • (2000) IEEE Trans. Signal Process. , vol.48 , Issue.3 , pp. 642-649
    • Sahlin, H.1    Broman, H.2
  • 54
    • 0029717762 scopus 로고    scopus 로고
    • Blind source separation of convolutive mixtures
    • pp
    • C. Servière: Blind source separation of convolutive mixtures, SSAP’96 (1996) pp. 316–319
    • (1996) SSAP’96 , pp. 316-319
    • Servière, C.1
  • 55
    • 0346665840 scopus 로고    scopus 로고
    • Blind separation of rotating machine sources: Bilinear forms and convolutive mixtures
    • A. Ypma, A. Leshem, R.P. Duina: Blind separation of rotating machine sources: Bilinear forms and convolutive mixtures, Neurocomputing 49(1– 4), 349–368 (2002)
    • (2002) Neurocomputing , vol.49 , Issue.1-4 , pp. 349-368
    • Ypma, A.1    Leshem, A.2    Duina, R.P.3
  • 56
    • 0031335210 scopus 로고    scopus 로고
    • Stability analysis and optimization of time-domain convolutive source separation algorithms
    • pp
    • N. Charkani, Y. Deville, J. Herault: Stability analysis and optimization of time-domain convolutive source separation algorithms, SPAWC’97 (1997) pp. 73–76
    • (1997) SPAWC’97 , pp. 73-76
    • Charkani, N.1    Deville, Y.2    Herault, J.3
  • 57
    • 0032634272 scopus 로고    scopus 로고
    • A convolutive source separation method with self-optimizing non-linearities
    • N. Charkani, Y. Deville: A convolutive source separation method with self-optimizing non-linearities, Proc. ICASSP’99, Vol. 5 (1999) pp. 2909– 2912
    • (1999) Proc. ICASSP’99 , vol.5 , pp. 2909-2912
    • Charkani, N.1    Deville, Y.2
  • 58
    • 0033097629 scopus 로고    scopus 로고
    • Self-adaptive separation of convolutively mixed signals with a recursive structure. Part I: Stability analysis and optimization of asymptotic behaviour
    • N. Charkani, Y. Deville: Self-adaptive separation of convolutively mixed signals with a recursive structure. Part I: Stability analysis and optimization of asymptotic behaviour, Signal Process. 73(3), 225–254 (1999)
    • (1999) Signal Process , vol.73 , Issue.3 , pp. 225-254
    • Charkani, N.1    Deville, Y.2
  • 59
    • 0029723365 scopus 로고    scopus 로고
    • Blind separation of convolved sources based on information maximization
    • pp
    • K. Torkkola: Blind separation of convolved sources based on information maximization, NNSP’96 (1996) pp. 423–432
    • (1996) NNSP’96 , pp. 423-432
    • Torkkola, K.1
  • 60
    • 0028416938 scopus 로고
    • Independent component analysis, a new concept?
    • special issue on Higher-Order Statistics
    • P. Comon: Independent component analysis, a new concept?, Signal Process. 36(3), 287–314 (1994), special issue on Higher-Order Statistics
    • (1994) Signal Process , vol.36 , Issue.3 , pp. 287-314
    • Comon, P.1
  • 61
    • 0038036514 scopus 로고    scopus 로고
    • Blind separation of independent sources from convolutive mixtures
    • P. Comon, L. Rota: Blind separation of independent sources from convolutive mixtures, IEICE Trans. Fundamentals E86-A(3), 542–549 (2003)
    • (2003) IEICE Trans. Fundamentals , vol.E86-A , Issue.3 , pp. 542-549
    • Comon, P.1    Rota, L.2
  • 62
    • 0028996448 scopus 로고
    • Blind separation of wide-band sources in the frequency domain
    • Detroit
    • V. Capdevielle, C. Servière, J.L. Lacoume: Blind separation of wide-band sources in the frequency domain, ICASSP’95, Vol. 3 (Detroit 1995) pp. 2080– 2083
    • (1995) ICASSP’95 , vol.3 , pp. 2080-2083
    • Capdevielle, V.1    Servière, C.2    Lacoume, J.L.3
  • 63
    • 0029765183 scopus 로고    scopus 로고
    • Blind separation of convolutive mixtures using second and fourth order moments
    • Vol.,) pp
    • S. Icart, R. Gautier: Blind separation of convolutive mixtures using second and fourth order moments, Proc. ICASSP’96, Vol. 5 (1996) pp. 3018–3021
    • (1996) Proc. ICASSP’96 , vol.5 , pp. 3018-3021
    • Icart, S.1    Gautier, R.2
  • 64
    • 0030362060 scopus 로고    scopus 로고
    • A temporal model of linear anti-hebbian learning
    • M. Girolami, C. Fyfe: A temporal model of linear anti-hebbian learning, Neural Process. Lett. 4(3), 139–148 (1996)
    • (1996) Neural Process. Lett. , vol.4 , Issue.3 , pp. 139-148
    • Girolami, M.1    Fyfe, C.2
  • 65
    • 0032206401 scopus 로고    scopus 로고
    • On blind separation of convolutive mixtures of independent linear signals in unknown additive noise
    • J.K. Tugnait: On blind separation of convolutive mixtures of independent linear signals in unknown additive noise, IEEE Trans. Signal Process. 46(11), 3117–3123 (1998)
    • (1998) IEEE Trans. Signal Process. , vol.46 , Issue.11 , pp. 3117-3123
    • Tugnait, J.K.1
  • 66
    • 0032681775 scopus 로고    scopus 로고
    • Separation of a class of convolutive mixtures: A contrast function approach
    • pp
    • C. Simon, P. Loubaton, C. Vignat, C. Jutten, G. d’Urso: Separation of a class of convolutive mixtures: A contrast function approach, Proc. ICASSP’99 (1999) pp. 1429–1432
    • (1999) Proc. ICASSP’99 , pp. 1429-1432
    • Simon, C.1    Loubaton, P.2    Vignat, C.3    Jutten, C.4    D’Urso, G.5
  • 67
    • 0033709102 scopus 로고    scopus 로고
    • An improved cumulant-based blind speech separation method
    • pp
    • Y. Su, L. He, R. Yang: An improved cumulant-based blind speech separation method, Proc. ICASSP’00 (2000) pp. 1867–1870
    • (2000) Proc. ICASSP’00 , pp. 1867-1870
    • Su, Y.1    He, L.2    Yang, R.3
  • 68
    • 4143116561 scopus 로고    scopus 로고
    • Blind signal separation of convolutive mixtures
    • Vol.,) pp
    • P. Baxter, J. McWhirter: Blind signal separation of convolutive mixtures, AsilomarSSC, Vol. 1 (2003) pp. 124–128
    • (2003) Asilomarssc , vol.1 , pp. 124-128
    • Baxter, P.1    McWhirter, J.2
  • 70
    • 4444261064 scopus 로고    scopus 로고
    • Differential source separation for underdetermined instantaneous or convolutive mixtures: Concept and algorithms
    • Y. Deville, M. Benali, F. Abrard: Differential source separation for underdetermined instantaneous or convolutive mixtures: Concept and algorithms, Signal Process. 84(10), 1759–1776 (2004)
    • (2004) Signal Process , vol.84 , Issue.10 , pp. 1759-1776
    • Deville, Y.1    Benali, M.2    Abrard, F.3
  • 71
    • 33745725586 scopus 로고    scopus 로고
    • Eigenvector algorithms with reference signals for frequency domain BSS
    • pp
    • M. Ito, M. Kawamoto, N. Ohnishi, Y. Inouye: Eigenvector algorithms with reference signals for frequency domain BSS, ICA’06 (2006) pp. 123–131
    • (2006) ICA’06 , pp. 123-131
    • Ito, M.1    Kawamoto, M.2    Ohnishi, N.3    Inouye, Y.4
  • 72
    • 0141855326 scopus 로고    scopus 로고
    • Beam-forming-based convolutive source separation
    • Vol., pp
    • W. Baumann, D. Kolossa, R. Orglmeister: Beam-forming-based convolutive source separation, Proc. ICASSP’03, Vol. 5 (2003) pp. 357–360
    • (2003) Proc. ICASSP’03 , vol.5 , pp. 357-360
    • Baumann, W.1    Kolossa, D.2    Orglmeister, R.3
  • 73
    • 35048828412 scopus 로고    scopus 로고
    • Maximum likelihood permutation correction for convolutive source separation
    • pp
    • W. Baumann, D. Kolossa, R. Orglmeister: Maximum likelihood permutation correction for convolutive source separation, ICA’03 (2003) pp. 373–378
    • (2003) ICA’03 , pp. 373-378
    • Baumann, W.1    Kolossa, D.2    Orglmeister, R.3
  • 74
    • 17644370401 scopus 로고    scopus 로고
    • Gradient flow convolutive blind source separation
    • pp
    • M.S. Pedersen, C.M. Nielsen: Gradient flow convolutive blind source separation, MLSP’04 (2004) pp. 335–344
    • (2004) MLSP’04 , pp. 335-344
    • Pedersen, M.S.1    Nielsen, C.M.2
  • 75
    • 0027812550 scopus 로고
    • Blind beamforming for non Gaussian signals
    • J.-F. Cardoso, A. Souloumiac: Blind beamforming for non Gaussian signals, IEEE Proc. 140(6), 362–370 (1993)
    • (1993) IEEE Proc , vol.140 , Issue.6 , pp. 362-370
    • Cardoso, J.-F.1    Souloumiac, A.2
  • 76
    • 0028483971 scopus 로고
    • Criteria for multichannel signal separation
    • D. Yellin, E. Weinstein: Criteria for multichannel signal separation, IEEE Trans. Signal Process. 42(8), 2158–2168 (1994)
    • (1994) IEEE Trans. Signal Process. , vol.42 , Issue.8 , pp. 2158-2168
    • Yellin, D.1    Weinstein, E.2
  • 77
    • 33749041814 scopus 로고    scopus 로고
    • Nonlinear postprocessing for blind speech separation
    • pp
    • D. Kolossa, R. Orglmeister: Nonlinear postprocessing for blind speech separation, ICA’04 (2004) pp. 832–839
    • (2004) ICA’04 , pp. 832-839
    • Kolossa, D.1    Orglmeister, R.2
  • 78
    • 0012584080 scopus 로고    scopus 로고
    • Blind separation of convolutive mixtures: A contrast-based joint diagonalization approach
    • P. Comon, E. Moreau, L. Rota: Blind separation of convolutive mixtures: A contrast-based joint diagonalization approach, ICA’01 (2001) pp. 686– 691
    • (2001) ICA’01 , pp. 686-691
    • Comon, P.1    Moreau, E.2    Rota, L.3
  • 79
    • 0031165729 scopus 로고    scopus 로고
    • Generalized contrasts for multichannel blind deconvolution of linear systems
    • E. Moreau, J. Pesquet: Generalized contrasts for multichannel blind deconvolution of linear systems, IEEE Signal Process. Lett. 4(6), 182–183 (1997)
    • (1997) IEEE Signal Process. Lett. , vol.4 , Issue.6 , pp. 182-183
    • Moreau, E.1    Pesquet, J.2
  • 80
    • 4744367003 scopus 로고    scopus 로고
    • Blind source extraction from convolutive mixtures in ill-conditioned multi-input multi-output channels
    • Y. Li, J. Wang, A. Cichocki: Blind source extraction from convolutive mixtures in ill-conditioned multi-input multi-output channels, IEEE Trans. Circ. Syst. I: Regular Papers 51(9), 1814–1822 (2004)
    • (2004) IEEE Trans. Circ. Syst. I: Regular Papers , vol.51 , Issue.9 , pp. 1814-1822
    • Li, Y.1    Wang, J.2    Cichocki, A.3
  • 81
    • 1842447836 scopus 로고    scopus 로고
    • Problems in blind separation of convolutive speech mixtures by negentropy maximization
    • pp
    • R.K. Prasad, H. Saruwatari, K. Shikano: Problems in blind separation of convolutive speech mixtures by negentropy maximization, IWAENC’03 (2003) pp. 287–290
    • (2003) IWAENC’03 , pp. 287-290
    • Prasad, R.K.1    Saruwatari, H.2    Shikano, K.3
  • 82
    • 0034854425 scopus 로고    scopus 로고
    • Adaptive paraunitary filter banks for contrast-based multichannel blind deconvolution
    • Vol.,) pp
    • X. Sun, S. Douglas: Adaptive paraunitary filter banks for contrast-based multichannel blind deconvolution, Proc. ICASSP’01, Vol. 5 (2001) pp. 2753– 2756
    • (2001) Proc. ICASSP’01 , vol.5 , pp. 2753-2756
    • Sun, X.1    Douglas, S.2
  • 83
    • 33644982612 scopus 로고    scopus 로고
    • Time-domain fast fixed-point algorithms for convolutive ICA
    • J. Thomas, Y. Deville, S. Hosseini: Time-domain fast fixed-point algorithms for convolutive ICA, IEEE Signal Process. Lett. 13(4), 228–231 (2006)
    • (2006) IEEE Signal Process. Lett. , vol.13 , Issue.4 , pp. 228-231
    • Thomas, J.1    Deville, Y.2    Hosseini, S.3
  • 84
    • 0026191274 scopus 로고
    • Blind separation of sources, part I: An adaptive algorithm based on neu-romimetic architecture
    • C. Jutten, J. Herault: Blind separation of sources, part I: An adaptive algorithm based on neu-romimetic architecture, Signal Process. 24(1), 1–10 (1991)
    • (1991) Signal Process , vol.24 , Issue.1 , pp. 1-10
    • Jutten, C.1    Herault, J.2
  • 85
    • 0028714430 scopus 로고
    • Blind deconvolution of signals using a complex recurrent network
    • pp
    • A.D. Back, A.C. Tsoi: Blind deconvolution of signals using a complex recurrent network, NNSP’94 (1994) pp. 565–574
    • (1994) NNSP’94 , pp. 565-574
    • Back, A.D.1    Tsoi, A.C.2
  • 86
    • 0034856577 scopus 로고    scopus 로고
    • An adaptive short-time frequency domain algorithm for blind separation of nonstationary convolved mixtures
    • pp
    • I. Kopriva, Ž. Devčić, H. Szu: An adaptive short-time frequency domain algorithm for blind separation of nonstationary convolved mixtures, IJCNN’01 (2001) pp. 424–429
    • (2001) IJCNN’01 , pp. 424-429
    • Kopriva, I.1    Devčić, Ž.2    Szu, H.3
  • 87
    • 0031619943 scopus 로고    scopus 로고
    • A Gauss-Newton method for blind source separation of convolutive mixtures
    • Vol., pp
    • S. Cruces, L. Castedo: A Gauss-Newton method for blind source separation of convolutive mixtures, Proc. ICASSP’98, Vol. IV (1998) pp. 2093–2096
    • (1998) Proc. ICASSP’98 , vol.4 , pp. 2093-2096
    • Cruces, S.1    Castedo, L.2
  • 88
    • 0029345926 scopus 로고
    • Signal separation by symmetric adaptive decorrelation: Stability, convergence, and uniqueness
    • S.V. Gerven, D.V. Compernolle: Signal separation by symmetric adaptive decorrelation: Stability, convergence, and uniqueness, IEEE Trans. Signal Process. 43(7), 1602–1612 (1995)
    • (1995) IEEE Trans. Signal Process. , vol.43 , Issue.7 , pp. 1602-1612
    • Gerven, S.V.1    Compernolle, D.V.2
  • 89
    • 0029185402 scopus 로고
    • Adaptive separation of mixed broadband sound sources with delays by a beamforming Herault-Jutten network
    • S. Li, T.J. Sejnowski: Adaptive separation of mixed broadband sound sources with delays by a beamforming Herault-Jutten network, IEEE J. Ocean. Eng. 20(1), 73–79 (1995)
    • (1995) IEEE J. Ocean. Eng. , vol.20 , Issue.1 , pp. 73-79
    • Li, S.1    Sejnowski, T.J.2
  • 90
    • 0009973738 scopus 로고    scopus 로고
    • Optimization of the asymptpotic preformance of time-domain convolutive source separation algorithms
    • pp
    • N. Charkani, Y. Deville: Optimization of the asymptpotic preformance of time-domain convolutive source separation algorithms, ESANN’97 (1997) pp. 273–278
    • (1997) ESANN’97 , pp. 273-278
    • Charkani, N.1    Deville, Y.2
  • 91
    • 0032655017 scopus 로고    scopus 로고
    • Self-adaptive separation of convolutively mixed signals with a recursive structure. Part II: Theoretical extensions and application to synthetic and real signals
    • N. Charkani, Y. Deville: Self-adaptive separation of convolutively mixed signals with a recursive structure. Part II: Theoretical extensions and application to synthetic and real signals, Signal Process. 75(2), 117–140 (1999)
    • (1999) Signal Process , vol.75 , Issue.2 , pp. 117-140
    • Charkani, N.1    Deville, Y.2
  • 92
    • 0036952998 scopus 로고    scopus 로고
    • Multichannel signal separation for cocktail party speech recognition: A dynamic recurrent network
    • S. Choi, H. Hong, H. Glotin, F. Berthommier: Multichannel signal separation for cocktail party speech recognition: A dynamic recurrent network, Neurocomputing 49(1–4), 299–314 (2002)
    • (2002) Neurocomputing , vol.49 , Issue.1-4 , pp. 299-314
    • Choi, S.1    Hong, H.2    Glotin, H.3    Berthommier, F.4
  • 93
    • 85075950099 scopus 로고    scopus 로고
    • Several improvements of the Hérault-Jutten model for speech segregation
    • pp
    • F. Berthommier, S. Choi: Several improvements of the Hérault-Jutten model for speech segregation, ICA’03 (2003) pp. 1089–1094
    • (2003) ICA’03 , pp. 1089-1094
    • Berthommier, F.1    Choi, S.2
  • 94
    • 0031618185 scopus 로고    scopus 로고
    • Blind separation of linear convolutive mixtures through parallel stochastic optimization, ISCAS’98
    • pp
    • M. Cohen, G. Cauwenbergh: Blind separation of linear convolutive mixtures through parallel stochastic optimization, ISCAS’98, Vol. 3 (1998) pp. 17–20
    • (1998) Vol. , vol.3 , pp. 17-20
    • Cohen, M.1    Cauwenbergh, G.2
  • 95
    • 27644459517 scopus 로고    scopus 로고
    • Blind separation of linear convolutive mixtures using orthogonal filter banks
    • M. Stanacevic, M. Cohen, G. Cauwenberghs: Blind separation of linear convolutive mixtures using orthogonal filter banks, ICA’01 (2001) pp. 260– 265
    • (2001) ICA’01 , pp. 260-265
    • Stanacevic, M.1    Cohen, M.2    Cauwenberghs, G.3
  • 97
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • A.J. Bell, T.J. Sejnowski: An information-maximization approach to blind separation and blind deconvolution, Neural Comput. 7(6), 1129– 1159 (1995)
    • (1995) Neural Comput , vol.7 , Issue.6 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 99
    • 84898936603 scopus 로고    scopus 로고
    • Maximum likelihood blind source separation: A context-sensitive generalization of ICA
    • pp
    • B.A. Pearlmutter, L.C. Parra: Maximum likelihood blind source separation: A context-sensitive generalization of ICA, NIPS’97 (1997) pp. 613–619
    • (1997) NIPS’97 , pp. 613-619
    • Pearlmutter, B.A.1    Parra, L.C.2
  • 100
    • 0032187518 scopus 로고    scopus 로고
    • Blind signal separation: Statistical principles
    • J.-F. Cardoso: Blind signal separation: Statistical principles, Proc. IEEE 9(10), 2009–2025 (1998)
    • (1998) Proc. IEEE , vol.9 , Issue.10 , pp. 2009-2025
    • Cardoso, J.-F.1
  • 101
    • 4544386232 scopus 로고    scopus 로고
    • Optimal blind separation of convolutive audio mixtures without temporal constraints
    • K. Kokkanikis, A.K. Nandi: Optimal blind separation of convolutive audio mixtures without temporal constraints, Proc. ICASSP’04, Vol. 1 (2004) pp. 217– 220
    • (2004) Proc. ICASSP’04 , vol.1 , pp. 217-220
    • Kokkanikis, K.1    Nandi, A.K.2
  • 102
    • 35048877667 scopus 로고    scopus 로고
    • Multichannel speech separation using adaptive parameterization of source pdfs
    • pp
    • K. Kokkinakis, A.K. Nandi: Multichannel speech separation using adaptive parameterization of source pdfs, ICA’04 (2004) pp. 486–493
    • (2004) ICA’04 , pp. 486-493
    • Kokkinakis, K.1    Nandi, A.K.2
  • 103
    • 0032636739 scopus 로고    scopus 로고
    • Generalized anti-hebbian learning for source separationProc
    • Vol., pp
    • H.-C. Wu, J.C. Principe: Generalized anti-hebbian learning for source separation, Proc. ICASSP’99, Vol. 2 (1999) pp. 1073–1076
    • (1999) ICASSP’99 , vol.2 , pp. 1073-1076
    • Wu, H.-C.1    Principe, J.C.2
  • 104
    • 0030711165 scopus 로고    scopus 로고
    • Blind separation and restoration of signals mixed in convolutive environment
    • pp
    • J. Xi, J.P. Reilly: Blind separation and restoration of signals mixed in convolutive environment, Proc. ICASSP’97 (1997) pp. 1327–1330
    • (1997) Proc. ICASSP’97 , pp. 1327-1330
    • Xi, J.1    Reilly, J.P.2
  • 105
    • 0032658304 scopus 로고    scopus 로고
    • Blind signal separation for convolutive mixing environments using spatial-temporal processing
    • pp
    • J.P. Reilly, L.C. Mendoza: Blind signal separation for convolutive mixing environments using spatial-temporal processing, Proc. ICASSP’99 (1999) pp. 1437–1440
    • (1999) Proc. ICASSP’99 , pp. 1437-1440
    • Reilly, J.P.1    Mendoza, L.C.2
  • 106
    • 4344579404 scopus 로고    scopus 로고
    • A robust and precise method for solving the permutation problem of frequency-domain blind source separation
    • H. Sawada, R. Mukai, S. Araki, S. Makino: A robust and precise method for solving the permutation problem of frequency-domain blind source separation, IEEE Trans. Speech Audio Process. 12(5), 530–538 (2004)
    • (2004) IEEE Trans. Speech Audio Process. , vol.12 , Issue.5 , pp. 530-538
    • Sawada, H.1    Mukai, R.2    Araki, S.3    Makino, S.4
  • 107
    • 17544395704 scopus 로고    scopus 로고
    • Polar coordinate based nonlinear function for frequency domain blind source separation
    • pp
    • H. Sawada, R. Mukai, S. Araki, S. Makino: Polar coordinate based nonlinear function for frequency domain blind source separation, Proc. ICASSP’02 (2002) pp. 1001–1004
    • (2002) Proc. ICASSP’02 , pp. 1001-1004
    • Sawada, H.1    Mukai, R.2    Araki, S.3    Makino, S.4
  • 108
    • 33947654429 scopus 로고    scopus 로고
    • The maximum likelihood approach to complex ICA
    • pp
    • J.-F. Cardoso, T. Adali: The maximum likelihood approach to complex ICA, Proc. ICASSP, Vol. 5 (2006) pp. 673–676
    • (2006) Proc. ICASSP , vol.5 , pp. 673-676
    • Cardoso, J.-F.1    Adali, T.2
  • 109
    • 38949133760 scopus 로고    scopus 로고
    • Adaptable nonlinearity for complex maximization of nongaussianity and a fixed-point algorithm
    • M. Novey, T. Adali: Adaptable nonlinearity for complex maximization of nongaussianity and a fixed-point algorithm, MLSP (2006)
    • (2006) MLSP
    • Novey, M.1    Adali, T.2
  • 110
    • 0032741562 scopus 로고    scopus 로고
    • An FFT-based algorithm for multichannel blind deconvolution
    • pp
    • M. Joho, H. Mathis, G.S. Moschytz: An FFT-based algorithm for multichannel blind deconvolution, ISCAS’99, Vol. 3 (1999) pp. 203–206
    • (1999) ISCAS’99 , vol.3 , pp. 203-206
    • Joho, M.1    Mathis, H.2    Moschytz, G.S.3
  • 111
    • 0030676894 scopus 로고    scopus 로고
    • Blind separation of multiple speakers in a multipath environment
    • Vol.,) pp
    • R.H. Lambert, A.J. Bell: Blind separation of multiple speakers in a multipath environment, Proc. ICASSP’97, Vol. 1 (1997) pp. 423–426
    • (1997) Proc. ICASSP’97 , vol.1 , pp. 423-426
    • Lambert, R.H.1    Bell, A.J.2
  • 112
    • 0028996460 scopus 로고
    • A new method for source separation
    • Vol.,) pp
    • R.H. Lambert: A new method for source separation, Proc. ICASSP’95, Vol. 3 (1995) pp. 2116–2119
    • (1995) Proc. ICASSP’95 , vol.3 , pp. 2116-2119
    • Lambert, R.H.1
  • 113
    • 0030658281 scopus 로고    scopus 로고
    • Blind source separation of real world signals
    • pp
    • T.-W. Lee, A.J. Bell, R. Orglmeister: Blind source separation of real world signals, ICNN’97 (1997) pp. 2129–2135
    • (1997) ICNN’97 , pp. 2129-2135
    • Lee, T.-W.1    Bell, A.J.2    Orglmeister, R.3
  • 114
    • 0006317033 scopus 로고    scopus 로고
    • Natural gradient learning with a nonholonomic constraint for blind deconvolution of multiple channels
    • pp
    • S. Choi, S. Amari, A. Cichocki, R. Liu: Natural gradient learning with a nonholonomic constraint for blind deconvolution of multiple channels, ICA’99 (1999) pp. 371–376
    • (1999) ICA’99 , pp. 371-376
    • Choi, S.1    Amari, S.2    Cichocki, A.3    Liu, R.4
  • 115
    • 0037211149 scopus 로고    scopus 로고
    • Convolutive blind separation of speech mixtures using the natural gradient
    • S.C. Douglas, X. Sun: Convolutive blind separation of speech mixtures using the natural gradient, Speech Commun. 39, 65–78 (2003)
    • (2003) Speech Commun , vol.39 , pp. 65-78
    • Douglas, S.C.1    Sun, X.2
  • 116
    • 4344688109 scopus 로고    scopus 로고
    • Blind separation for convolutive mixture of many voices
    • pp
    • K. Matsuoka, Y. Ohba, Y. Toyota, S. Nakashima: Blind separation for convolutive mixture of many voices, IWAENC’03 (2003) pp. 279–282
    • (2003) IWAENC’03 , pp. 279-282
    • Matsuoka, K.1    Ohba, Y.2    Toyota, Y.3    Nakashima, S.4
  • 117
    • 0141512720 scopus 로고    scopus 로고
    • Minimal distortion principle for blind source separation
    • pp
    • K. Matsuoka, S. Nakashima: Minimal distortion principle for blind source separation, ICA’01 (2001) pp. 722–727
    • (2001) ICA’01 , pp. 722-727
    • Matsuoka, K.1    Nakashima, S.2
  • 119
    • 85009070694 scopus 로고    scopus 로고
    • Adaptive crosschannel interference cancellation on blind signal separation outputs using source absence/presence detection and spectral subtraction
    • Vol.,) pp
    • G.-J. Jang, C. Choi, Y. Lee, Y.-H. Oh: Adaptive crosschannel interference cancellation on blind signal separation outputs using source absence/presence detection and spectral subtraction, ICLSP’04, Vol. IV (2004) pp. 2865–2868
    • (2004) ICLSP’ , vol.4 , Issue.4 , pp. 2865-2868
    • Jang, G.-J.1    Choi, C.2    Lee, Y.3    Oh, Y.-H.4
  • 121
    • 4344702691 scopus 로고    scopus 로고
    • Frequency domain realization of a multichannel blind deconvolution algorithm based on the natural gradient
    • pp
    • M. Joho, P. Schniter: Frequency domain realization of a multichannel blind deconvolution algorithm based on the natural gradient, ICA’03 (2003) pp. 543–548
    • (2003) ICA’03 , pp. 543-548
    • Joho, M.1    Schniter, P.2
  • 122
    • 35048892499 scopus 로고    scopus 로고
    • Adaptive crosschannel interference cancellation on blind source separation outputs
    • pp
    • C. Choi, G. Jang, Y. Lee, S.R. Kim: Adaptive crosschannel interference cancellation on blind source separation outputs, ICA’04 (2004) pp. 857–864
    • (2004) ICA’04 , pp. 857-864
    • Choi, C.1    Jang, G.2    Lee, Y.3    Kim, S.R.4
  • 124
    • 0040973447 scopus 로고    scopus 로고
    • Temporal models in blind source separation
    • L.C. Parra: Temporal models in blind source separation, Lect. Notes Comput. Sci. 1387, 229–247 (1998)
    • (1998) Lect. Notes Comput. Sci. , vol.1387 , pp. 229-247
    • Parra, L.C.1
  • 125
    • 0141631697 scopus 로고    scopus 로고
    • Estimation of the number of sound sources using support vector machines and its application to sound source separation
    • Vol.,) pp
    • K. Yamamoto, F. Asano, W. van Rooijen, E. Ling, T. Yamada, N. Kitawaki: Estimation of the number of sound sources using support vector machines and its application to sound source separation, Proc. ICASSP’03, Vol. 5 (2003) pp. 485– 488
    • (2003) Proc. ICASSP’03 , vol.5 , pp. 485-488
    • Yamamoto, K.1    Asano, F.2    van Rooijen, W.3    Ling, E.4    Yamada, T.5    Kitawaki, N.6
  • 127
    • 0141512578 scopus 로고    scopus 로고
    • On-line blind separation of moving sound sources
    • pp
    • J. Anemüller, T. Gramms: On-line blind separation of moving sound sources, ICA’99 (1999) pp. 331–334
    • (1999) ICA’99 , pp. 331-334
    • Anemüller, J.1    Gramms, T.2
  • 128
    • 0036952404 scopus 로고    scopus 로고
    • An EM algorithm for convolutive independent component analysis
    • S. Deligne, R. Gopinath: An EM algorithm for convolutive independent component analysis, Neurocomputing 49, 187–211 (2002)
    • (2002) Neurocomputing , vol.49 , pp. 187-211
    • Deligne, S.1    Gopinath, R.2
  • 129
    • 4544242203 scopus 로고    scopus 로고
    • Generalized sparse signal mixing model and application to noisy blind source separation
    • Vol.,) pp
    • J. Rosca, C. Borss, R. Balan: Generalized sparse signal mixing model and application to noisy blind source separation, Proc. ICASSP’04, Vol. 3 (2004) pp. 877–880
    • (2004) Proc. ICASSP’04 , vol.3 , pp. 877-880
    • Rosca, J.1    Borss, C.2    Balan, R.3
  • 130
    • 11144238237 scopus 로고    scopus 로고
    • Natural gradient multichannel blind deconvolution and speech separation using causal FIR filters
    • S.C. Douglas, H. Sawada, S. Makino: Natural gradient multichannel blind deconvolution and speech separation using causal FIR filters, IEEE Trans. Speech Audio Process. 13(1), 92–104 (2005)
    • (2005) IEEE Trans. Speech Audio Process. , vol.13 , Issue.1 , pp. 92-104
    • Douglas, S.C.1    Sawada, H.2    Makino, S.3
  • 131
    • 0037367812 scopus 로고    scopus 로고
    • The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech
    • S. Araki, R. Mukai, S. Makino, T. Nishikawa, H. Saruwatari: The fundamental limitation of frequency domain blind source separation for convolutive mixtures of speech, IEEE Trans. Speech Audio Process. 11(2), 109–116 (2003)
    • (2003) IEEE Trans. Speech Audio Process. , vol.11 , Issue.2 , pp. 109-116
    • Araki, S.1    Mukai, R.2    Makino, S.3    Nishikawa, T.4    Saruwatari, H.5
  • 132
    • 33646772172 scopus 로고    scopus 로고
    • Blind source separation combining SIMO-model-based ICA and adaptive beamforming
    • Vol.,) pp
    • S. Ukai, T. Takatani, T. Nishikawa, H. Saruwatari: Blind source separation combining SIMO-model-based ICA and adaptive beamforming, Proc. ICASSP’05, Vol. 3 (2005) pp. 85–88
    • (2005) Proc. ICASSP’05 , vol.3 , pp. 85-88
    • Ukai, S.1    Takatani, T.2    Nishikawa, T.3    Saruwatari, H.4
  • 133
    • 0029483116 scopus 로고
    • Polynomial matrix whitening and application to the multichannel blind deconvolution problem
    • pp
    • R.H. Lambert, C.L. Nikias: Polynomial matrix whitening and application to the multichannel blind deconvolution problem, MILCOM’95, Vol. 3 (1995) pp. 988–992
    • (1995) MILCOM’95 , vol.3 , pp. 988-992
    • Lambert, R.H.1    Nikias, C.L.2
  • 134
  • 135
    • 0036079691 scopus 로고    scopus 로고
    • A semi-blind approach to the separation of real world speech mixtures
    • pp
    • F. Tordini, F. Piazza: A semi-blind approach to the separation of real world speech mixtures, IJCNN’02, Vol. 2 (2002) pp. 1293–1298
    • (2002) IJCNN’02 , vol.2 , pp. 1293-1298
    • Tordini, F.1    Piazza, F.2
  • 136
    • 85075941020 scopus 로고    scopus 로고
    • Source separation with a sensor array using graphical models and subband filtering
    • Vol.,) pp
    • H. Attias: Source separation with a sensor array using graphical models and subband filtering, NIPS’02, Vol. 15 (2002) pp. 1229–1236
    • (2002) NIPS’02 , vol.15 , pp. 1229-1236
    • Attias, H.1
  • 137
    • 85075947818 scopus 로고    scopus 로고
    • Source separation using particle filters
    • Vol., pp
    • M.A. Gandhi, M.A. Hasegawa-Johnson: Source separation using particle filters, ICLSP’04, Vol. 3 (2004) pp. 2449–2452
    • (2004) ICLSP’04 , vol.3 , pp. 2449-2452
    • Gandhi, M.A.1    Hasegawa-Johnson, M.A.2
  • 138
    • 85075921574 scopus 로고    scopus 로고
    • A harmonic excitation state-space approach to blind separation of speech
    • R.K. Olsson, L.K. Hansen: A harmonic excitation state-space approach to blind separation of speech, NIPS (2004)
    • (2004) NIPS
    • Olsson, R.K.1    Hansen, L.K.2
  • 139
    • 84979879965 scopus 로고    scopus 로고
    • Probabilistic blind deconvolution of non-stationary sources
    • pp
    • R.K. Olsson, L.K. Hansen: Probabilistic blind deconvolution of non-stationary sources, EUSIPCO’04 (2004) pp. 1697–1700
    • (2004) EUSIPCO’04 , pp. 1697-1700
    • Olsson, R.K.1    Hansen, L.K.2
  • 140
    • 85075931246 scopus 로고    scopus 로고
    • Hierarchical clustering applied to overcomplete BSS for convolutive mixtures
    • S. Winter, H. Sawada, S. Araki, S. Makino: Hierarchical clustering applied to overcomplete BSS for convolutive mixtures, SAPA’04 (2004)
    • (2004) SAPA’04
    • Winter, S.1    Sawada, H.2    Araki, S.3    Makino, S.4
  • 141
    • 35048832864 scopus 로고    scopus 로고
    • Overcomplete BSS for convolutive mixtures based on hierarchical clustering
    • pp
    • S. Winter, H. Sawada, S. Araki, S. Makino: Overcomplete BSS for convolutive mixtures based on hierarchical clustering, ICA’04 (2004) pp. 652–660
    • (2004) ICA’04 , pp. 652-660
    • Winter, S.1    Sawada, H.2    Araki, S.3    Makino, S.4
  • 142
    • 0141743693 scopus 로고    scopus 로고
    • New EM algorithms for source separation and deconvolution
    • Vol., pp
    • H. Attias: New EM algorithms for source separation and deconvolution, Proc. ICASSP’03, Vol. V (2003) pp. 297–300
    • (2003) Proc. ICASSP’03 , vol.5 , pp. 297-300
    • Attias, H.1
  • 143
    • 21644479119 scopus 로고    scopus 로고
    • A particle filter for model based audio source separation
    • pp
    • C. Andrieu, S. Godsill: A particle filter for model based audio source separation, ICA’00 (2000) pp. 381–386
    • (2000) ICA’00 , pp. 381-386
    • Andrieu, C.1    Godsill, S.2
  • 144
    • 84947596082 scopus 로고    scopus 로고
    • Bayesian blind MIMO deconvolution of nonstationary subband autoregressive sources mixed through subband all-pole channels
    • pp
    • J.R. Hopgood: Bayesian blind MIMO deconvolution of nonstationary subband autoregressive sources mixed through subband all-pole channels, SSP’03 (2003) pp. 422–425
    • (2003) SSP’03 , pp. 422-425
    • Hopgood, J.R.1
  • 145
    • 0032687760 scopus 로고    scopus 로고
    • Bayesian separation and recovery of convolutively mixed autoregressive sources, Proc
    • Vol., pp
    • S.J. Godsill, C. Andrieu: Bayesian separation and recovery of convolutively mixed autoregressive sources, Proc. ICASSP’99, Vol. 3 (1999) pp. 1733–1736
    • (1999) ICASSP’99 , vol.3 , pp. 1733-1736
    • Godsill, S.J.1    Andrieu, C.2
  • 146
    • 0031208559 scopus 로고    scopus 로고
    • Blind system identification
    • K. Abed-Meraim, W. Qiu, Y. Hua: Blind system identification, Proc. IEEE 85(8), 1310–1322 (1997)
    • (1997) Proc. IEEE , vol.85 , Issue.8 , pp. 1310-1322
    • Abed-Meraim, K.1    Qiu, W.2    Hua, Y.3
  • 147
    • 4544237627 scopus 로고    scopus 로고
    • A coupled HMM for solving the permutation problem in frequency domain BSS
    • S. Sanei, W. Wang, J.A. Chambers: A coupled HMM for solving the permutation problem in frequency domain BSS, Proc. ICASSP’04, Vol. 5 (2004) pp. 565– 568
    • (2004) Proc. ICASSP’04 , vol.5 , pp. 565-568
    • Sanei, S.1    Wang, W.2    Chambers, J.A.3
  • 149
    • 0000914334 scopus 로고    scopus 로고
    • Convolutive blind separation of non-stationary sources
    • L. Parra, C. Spence: Convolutive blind separation of non-stationary sources, IEEE Trans. Speech Audio Process. 8(3), 320–327 (2000)
    • (2000) IEEE Trans. Speech Audio Process. , vol.8 , Issue.3 , pp. 320-327
    • Parra, L.1    Spence, C.2
  • 150
    • 84876645737 scopus 로고    scopus 로고
    • On the inde-terminacies of convolutive blind signal separation based on second-order statistics
    • pp
    • D.W.E. Schobben, P.C.W. Sommen: On the inde-terminacies of convolutive blind signal separation based on second-order statistics, ISSPA’99 (1999) pp. 215–218
    • (1999) ISSPA’ , vol.99 , pp. 215-218
    • Schobben, D.W.E.1    Sommen, P.C.W.2
  • 151
    • 0037645736 scopus 로고    scopus 로고
    • Blind MIMO system identification based on cumulant subspace decomposition
    • J. Liang, Z. Ding: Blind MIMO system identification based on cumulant subspace decomposition, IEEE Trans. Signal Process. 51(6), 1457–1468 (2003)
    • (2003) IEEE Trans. Signal Process. , vol.51 , Issue.6 , pp. 1457-1468
    • Liang, J.1    Ding, Z.2
  • 152
    • 27644599376 scopus 로고    scopus 로고
    • A frequency domain method for blind source separation of convolutive audio mixtures
    • K. Rahbar, J.P. Reilly: A frequency domain method for blind source separation of convolutive audio mixtures, IEEE Trans. Speech Audio Process. 13(5), 832–844 (2005)
    • (2005) IEEE Trans. Speech Audio Process. , vol.13 , Issue.5 , pp. 832-844
    • Rahbar, K.1    Reilly, J.P.2
  • 153
    • 0032212868 scopus 로고    scopus 로고
    • A method of blind separation for convolved non-stationary signals
    • M. Kawamoto, K. Matsuoka, N. Ohnishi: A method of blind separation for convolved non-stationary signals, Neurocomputing 22(1–3), 157–171 (1998)
    • (1998) Neurocomputing , vol.22 , Issue.1-3 , pp. 157-171
    • Kawamoto, M.1    Matsuoka, K.2    Ohnishi, N.3
  • 155
    • 85075930661 scopus 로고    scopus 로고
    • Stability and performance of adaptive algorithms for multichannel blind source separation and deconvolution
    • A.G. Lindgren, T.P. von Hoff, A.N. Kaelin: Stability and performance of adaptive algorithms for multichannel blind source separation and deconvolution, EUSIPCO’00, Vol. 2 (2000) pp. 861– 864
    • (2000) EUSIPCO’00 , vol.2 , pp. 861-864
    • Lindgren, A.G.1    von Hoff, T.P.2    Kaelin, A.N.3
  • 156
    • 0031655316 scopus 로고    scopus 로고
    • Separation of real-world signals
    • H. Sahlin, H. Broman: Separation of real-world signals, Signal Process. 64, 103–113 (1998)
    • (1998) Signal Process , vol.64 , pp. 103-113
    • Sahlin, H.1    Broman, H.2
  • 158
    • 0031643830 scopus 로고    scopus 로고
    • On the convolutive mixture-source separation by the decorrelation approach
    • Vol.,) pp
    • C. Simon, C. Vignat, P. Loubaton, C. Jutten, G. d’Urso: On the convolutive mixture-source separation by the decorrelation approach, Proc. ICASSP’98, Vol. 4 (1998) pp. 2109–2112
    • (1998) Proc. ICASSP’98 , vol.4 , pp. 2109-2112
    • Simon, C.1    Vignat, C.2    Loubaton, P.3    Jutten, C.4    D’Urso, G.5
  • 161
    • 0000454105 scopus 로고    scopus 로고
    • Simultaneous diagonalization in the frequency domain (SDIF) for source separation
    • pp
    • H.-C. Wu, J.C. Principe: Simultaneous diagonalization in the frequency domain (SDIF) for source separation, ICA’99 (1999) pp. 245–250
    • (1999) ICA’99 , pp. 245-250
    • Wu, H.-C.1    Principe, J.C.2
  • 162
    • 0028996410 scopus 로고
    • Blind source detection and separation using second order non-stationarity
    • Vol.,) pp
    • A. Souloumiac: Blind source detection and separation using second order non-stationarity, Proc. ICASSP’95, Vol. 3 (1995) pp. 1912–1915
    • (1995) Proc. ICASSP’95 , vol.3 , pp. 1912-1915
    • Souloumiac, A.1
  • 163
    • 0029064164 scopus 로고
    • A neural net for blind separation of nonstationary signals
    • K. Matsuoka, M. Ohya, M. Kawamoto: A neural net for blind separation of nonstationary signals, Neural Netw. 8(3), 411–419 (1995)
    • (1995) Neural Netw , vol.8 , Issue.3 , pp. 411-419
    • Matsuoka, K.1    Ohya, M.2    Kawamoto, M.3
  • 165
    • 27644450095 scopus 로고    scopus 로고
    • A method of real-world blind separation implemented in frequency domain
    • pp
    • M. Kawamoto, A.K. Barros, K. Matsuoka, N. Ohnishi: A method of real-world blind separation implemented in frequency domain, ICA’00 (2000) pp. 267–272
    • (2000) ICA’00 , pp. 267-272
    • Kawamoto, M.1    Barros, A.K.2    Matsuoka, K.3    Ohnishi, N.4
  • 166
    • 84971665306 scopus 로고    scopus 로고
    • Effectiveness of directional microphones and utilization of source arriving directions in source separation
    • pp
    • M. Ito, M. Maruyoshi, M. Kawamoto, T. Mukai, N. Ohneshi: Effectiveness of directional microphones and utilization of source arriving directions in source separation, ICONIP’02 (2002) pp. 523– 526
    • (2002) ICONIP’02 , pp. 523-526
    • Ito, M.1    Maruyoshi, M.2    Kawamoto, M.3    Mukai, T.4    Ohneshi, N.5
  • 169
    • 84953720056 scopus 로고    scopus 로고
    • Time domain blind source separation of non-stationary convolved signals by utilizing geometric beamforming
    • pp
    • R. Aichner, S. Araki, S. Makino, T. Nishikawa, H. Saruwatari: Time domain blind source separation of non-stationary convolved signals by utilizing geometric beamforming, NNSP’02 (2002) pp. 445–454
    • (2002) NNSP’02 , pp. 445-454
    • Aichner, R.1    Araki, S.2    Makino, S.3    Nishikawa, T.4    Saruwatari, H.5
  • 170
    • 11144244166 scopus 로고    scopus 로고
    • On-line time-domain blind source separation of nonstationary convolved signals
    • pp
    • R. Aichner, H. Buchner, S. Araki, S. Makino: On-line time-domain blind source separation of nonstationary convolved signals, ICA’03 (2003) pp. 987–992
    • (2003) ICA’03 , pp. 987-992
    • Aichner, R.1    Buchner, H.2    Araki, S.3    Makino, S.4
  • 171
    • 11144223199 scopus 로고    scopus 로고
    • A generalization of blind source separation algorithms for convolutive mixtures based on second-order statistics
    • H. Buchner, R. Aichner, W. Kellermann: A generalization of blind source separation algorithms for convolutive mixtures based on second-order statistics, IEEE Trans. Speech Audio Process. 13(1), 120–134 (2005)
    • (2005) IEEE Trans. Speech Audio Process. , vol.13 , Issue.1 , pp. 120-134
    • Buchner, H.1    Aichner, R.2    Kellermann, W.3
  • 172
    • 0141702135 scopus 로고    scopus 로고
    • Speech enhancement using blind source separation and two-channel energy based speaker detection
    • Vol.,) pp
    • E. Visser, T.-W. Lee: Speech enhancement using blind source separation and two-channel energy based speaker detection, Proc. ICASSP’03, Vol. 1 (2003) pp. 884–887
    • (2003) Proc. ICASSP’03 , vol.1 , pp. 884-887
    • Visser, E.1    Lee, T.-W.2
  • 173
    • 85009104860 scopus 로고    scopus 로고
    • A comparison of simultaneous 3-channel blind source separation to selective separation on channel pairs using 2-channel BSS
    • Vol.,) pp
    • E. Visser, K. Chan, S. Kim, T.-W. Lee: A comparison of simultaneous 3-channel blind source separation to selective separation on channel pairs using 2-channel BSS, ICLSP’04, Vol. 4 (2004) pp. 2869–2872
    • (2004) ICLSP’04 , vol.4 , pp. 2869-2872
    • Visser, E.1    Chan, K.2    Kim, S.3    Lee, T.-W.4
  • 174
    • 0034846249 scopus 로고    scopus 로고
    • A multiresolution approach to blind separation of speech signals in a reverberant environment
    • M.Z. Ikram, D.R. Morgan: A multiresolution approach to blind separation of speech signals in a reverberant environment, Proc. ICASSP’01, Vol. 5 (2001)
    • (2001) Proc. ICASSP’01 , vol.5
    • Ikram, M.Z.1    Morgan, D.R.2
  • 175
    • 0036294876 scopus 로고    scopus 로고
    • A beamforming approach to permutation alignment for multichannel frequency-domain blind speech separation
    • pp
    • M. Ikram, D. Morgan: A beamforming approach to permutation alignment for multichannel frequency-domain blind speech separation, Proc. ICASSP’02 (2002) pp. 881–884
    • (2002) Proc. ICASSP’02 , pp. 881-884
    • Ikram, M.1    Morgan, D.2
  • 176
    • 11144230905 scopus 로고    scopus 로고
    • Permutation inconsistency in blind speech separation: Investigation and solutions
    • M.Z. Ikram, D.R. Morgan: Permutation inconsistency in blind speech separation: Investigation and solutions, IEEE Trans. Speech Audio Process. 13(1), 1–13 (2005)
    • (2005) IEEE Trans. Speech Audio Process , vol.13 , Issue.1 , pp. 1-13
    • Ikram, M.Z.1    Morgan, D.R.2
  • 177
    • 0034244801 scopus 로고    scopus 로고
    • On-line convolutive source separation of non-stationary signals
    • L. Parra, C. Spence: On-line convolutive source separation of non-stationary signals, IEEE J. VLSI Signal Process. 26(1-2), 39–46 (2000)
    • (2000) IEEE J. VLSI Signal Process , vol.26 , Issue.1-2 , pp. 39-46
    • Parra, L.1    Spence, C.2
  • 178
    • 35048819036 scopus 로고    scopus 로고
    • Blind signal separation of convolutive mixtures: A time-domain joint-diagonalization approach
    • pp
    • M. Joho: Blind signal separation of convolutive mixtures: A time-domain joint-diagonalization approach, ICA’04 (2004) pp. 578–585
    • (2004) ICA’04 , pp. 578-585
    • Joho, M.1
  • 179
    • 21644454272 scopus 로고    scopus 로고
    • Convolutive blind signal separation in acoustics by joint approximate diagonalization of spatiotemporal correlation matrices
    • M. Joho: Convolutive blind signal separation in acoustics by joint approximate diagonalization of spatiotemporal correlation matrices, Asilomar SSC (2004)
    • (2004) Asilomar SSC
    • Joho, M.1
  • 180
    • 85075917781 scopus 로고    scopus 로고
    • Equivalence between frequency domain blind source separation and frequency domain adaptive beamformers
    • S. Araki, S. Makino, R. Mukai, H. Saruwatari: Equivalence between frequency domain blind source separation and frequency domain adaptive beamformers, CRAC’01 (2001)
    • (2001) CRAC’01
    • Araki, S.1    Makino, S.2    Mukai, R.3    Saruwatari, H.4
  • 181
    • 0035783811 scopus 로고    scopus 로고
    • The coherence function in blind source separation of convolutive mixtures of non-stationary signals
    • pp
    • C.L. Fancourt, L. Parra: The coherence function in blind source separation of convolutive mixtures of non-stationary signals, NNSP (2001) pp. 303– 312
    • (2001) NNSP , pp. 303-312
    • Fancourt, C.L.1    Parra, L.2
  • 182
    • 0035682249 scopus 로고    scopus 로고
    • The generalized sidelobe decorrelator
    • C.L. Fancourt, L. Parra: The generalized sidelobe decorrelator, WASPAA’01 (2001)
    • (2001) WASPAA’01
    • Fancourt, C.L.1    Parra, L.2
  • 183
    • 84949229043 scopus 로고    scopus 로고
    • A comparison of decorrelation criteria for the blind source separation of non-stationary signals
    • C. Fancourt, L. Parra: A comparison of decorrelation criteria for the blind source separation of non-stationary signals, SAM’02 (2002)
    • (2002) SAM’02
    • Fancourt, C.1    Parra, L.2
  • 184
    • 0036753896 scopus 로고    scopus 로고
    • Geometric source separation: Merging convolutive source separation with geometric beamforming
    • L. Parra, C. Alvino: Geometric source separation: Merging convolutive source separation with geometric beamforming, IEEE Trans. Speech Audio Process. 10(6), 352–362 (2002)
    • (2002) IEEE Trans. Speech Audio Process. , vol.10 , Issue.6 , pp. 352-362
    • Parra, L.1    Alvino, C.2
  • 185
    • 35348889474 scopus 로고    scopus 로고
    • An Adaptive Beamforming Perspective on Convolutive Blind Source Separation
    • ed. by G. Davis (CRC, Boca Raton
    • L. Parra, C. Fancourt: An Adaptive Beamforming Perspective on Convolutive Blind Source Separation. In: Noise Reduction in Speech Applications, ed. by G. Davis (CRC, Boca Raton 2002)
    • (2002) Noise Reduction in Speech Applications
    • Parra, L.1    Fancourt, C.2
  • 186
    • 4544375494 scopus 로고    scopus 로고
    • Blind source sepoaration in mobile environments usinbg a priori knowledge
    • Vol.,) pp
    • E. Visser, T.-W. Lee: Blind source sepoaration in mobile environments usinbg a priori knowledge, Proc. ICASSP’04, Vol. 3 (2004) pp. 893–896
    • (2004) Proc. ICASSP’04 , vol.3 , pp. 893-896
    • Visser, E.1    Lee, T.-W.2
  • 187
    • 4544297237 scopus 로고    scopus 로고
    • Semi-blind source separation using head-related transfere functions
    • Vol., pp
    • M.S. Pedersen, L.K. Hansen, U. Kjems, K.B. Rasmussen: Semi-blind source separation using head-related transfere functions, Proc. ICASSP’04, Vol. V (2004) pp. 713–716
    • (2004) Proc. ICASSP’04 , vol.5 , pp. 713-716
    • Pedersen, M.S.1    Hansen, L.K.2    Kjems, U.3    Rasmussen, K.B.4
  • 188
    • 31344461224 scopus 로고    scopus 로고
    • Recursive method for blind source separation and its applications to real-time separations of acoustic signals
    • pp
    • S. Ding, T. Hikichi, T. Niitsuma, M. Hamatsu, K. Sugai: Recursive method for blind source separation and its applications to real-time separations of acoustic signals, ICA’03 (2003) pp. 517–522
    • (2003) ICA’03 , pp. 517-522
    • Ding, S.1    Hikichi, T.2    Niitsuma, T.3    Hamatsu, M.4    Sugai, K.5
  • 189
    • 33646810873 scopus 로고    scopus 로고
    • Issues in frequency domain blind source separation-a critical revisit
    • E. Robledo-Arnuncio, B.F. Juang: Issues in frequency domain blind source separation-a critical revisit, Proc. ICASSP’05, Vol. 5 (2005) pp. 281– 284
    • (2005) Proc. ICASSP’05 , vol.5 , pp. 281-284
    • Robledo-Arnuncio, E.1    Juang, B.F.2
  • 190
    • 2142817386 scopus 로고    scopus 로고
    • A joint diagonalization method for convolutive blind separation of nonstationary sources in the frequency domain
    • pp
    • W. Wang, J.A. Chambers, S. Sanei: A joint diagonalization method for convolutive blind separation of nonstationary sources in the frequency domain, ICA’03 (2003) pp. 939–944
    • (2003) ICA’03 , pp. 939-944
    • Wang, W.1    Chambers, J.A.2    Sanei, S.3
  • 191
    • 35048817011 scopus 로고    scopus 로고
    • A novel hybrid approach to the permutation problem of frequency domain blind source separation
    • pp
    • W. Wang, J.A. Chambers, S. Sanei: A novel hybrid approach to the permutation problem of frequency domain blind source separation, ICA’04 (2004) pp. 532–539
    • (2004) ICA’04 , pp. 532-539
    • Wang, W.1    Chambers, J.A.2    Sanei, S.3
  • 192
    • 18144391839 scopus 로고    scopus 로고
    • Penalty function-based joint diagonalization approach for convolutive blind separation of nonstationary sources
    • W. Wang, S. Sanei, J.A. Chambers: Penalty function-based joint diagonalization approach for convolutive blind separation of nonstationary sources, IEEE Trans. Signal Process. 53(5), 1654– 1669 (2005)
    • (2005) IEEE Trans. Signal Process. , vol.53 , Issue.5 , pp. 1654-1669
    • Wang, W.1    Sanei, S.2    Chambers, J.A.3
  • 193
    • 0000302959 scopus 로고
    • Separation of independent signals using time-delayed correlations
    • L. Molgedey, H. Schuster: Separation of independent signals using time-delayed correlations, Phys. Rev. Lett. 72(23), 3634–3637 (1994)
    • (1994) Phys. Rev. Lett. , vol.72 , Issue.23 , pp. 3634-3637
    • Molgedey, L.1    Schuster, H.2
  • 194
    • 0003708813 scopus 로고    scopus 로고
    • Adaptive blind separation of audio sources by a physically compact device using second order statistics
    • pp
    • T.J. Ngo, N. Bhadkamkar: Adaptive blind separation of audio sources by a physically compact device using second order statistics, ICA’99 (1999) pp. 257–260
    • (1999) ICA’99 , pp. 257-260
    • Ngo, T.J.1    Bhadkamkar, N.2
  • 195
    • 0036683891 scopus 로고    scopus 로고
    • A frequency domain blind signal separation method based on decorrelation
    • D.W. Schobben, P.C.W. Sommen: A frequency domain blind signal separation method based on decorrelation, IEEE Trans. Signal Process. 8(50), 1855–1865 (2002)
    • (2002) IEEE Trans. Signal Process. , vol.8 , Issue.50 , pp. 1855-1865
    • Schobben, D.W.1    Sommen, P.C.W.2
  • 196
    • 11144245398 scopus 로고    scopus 로고
    • An approach to blind source separation of speech signals
    • pp
    • S. Ikeda, N. Murata: An approach to blind source separation of speech signals, ICANN’98, Vol. 2 (1998) pp. 761–766
    • (1998) ICANN’98 , vol.2 , pp. 761-766
    • Ikeda, S.1    Murata, N.2
  • 197
    • 0037825828 scopus 로고    scopus 로고
    • A method of blind separation on temporal structre of signals
    • pp
    • S. Ikeda, N. Murata: A method of blind separation on temporal structre of signals, ICONIP’98, Vol. 2 (1998) pp. 737–742
    • (1998) ICONIP’98 , vol.2 , pp. 737-742
    • Ikeda, S.1    Murata, N.2
  • 198
    • 0002150673 scopus 로고    scopus 로고
    • A method of ICA in time-frequency domain
    • pp
    • S. Ikeda, N. Murata: A method of ICA in time-frequency domain, ICA’99 (1999) pp. 365–371
    • (1999) ICA’99 , pp. 365-371
    • Ikeda, S.1    Murata, N.2
  • 199
    • 0035659640 scopus 로고    scopus 로고
    • An approach to blind source separation based on temporal structure of speech signals
    • N. Murata, S. Ikeda, A. Ziehe: An approach to blind source separation based on temporal structure of speech signals, Neurocomputing 41(1–4), 1–24 (2001)
    • (2001) Neurocomputing , vol.41 , Issue.1-4 , pp. 1-24
    • Murata, N.1    Ikeda, S.2    Ziehe, A.3
  • 200
    • 0033280703 scopus 로고    scopus 로고
    • Considering non-stationarity for blind signal separation
    • pp
    • A. Ahmed, P.J.W. Rayner, S.J. Godsill: Considering non-stationarity for blind signal separation, WASPAA’99 (1999) pp. 111–114
    • (1999) WASPAA’99 , pp. 111-114
    • Ahmed, A.1    Rayner, P.J.W.2    Godsill, S.J.3
  • 201
    • 85075913265 scopus 로고    scopus 로고
    • A new convolutive blind signal separation algorithm based on second order statistics using a simplified mixing model
    • pp
    • B. Yin, P. Sommen: A new convolutive blind signal separation algorithm based on second order statistics using a simplified mixing model, EUSIPCO’00, Vol. 4 (2000) pp. 2049–2053
    • (2000) EUSIPCO’00 , vol.4 , pp. 2049-2053
    • Yin, B.1    Sommen, P.2
  • 202
    • 24944552181 scopus 로고    scopus 로고
    • Blind separation of convolutive audio mixtures using nonstationarity
    • pp
    • D.-T. Pham, C. Servière, H. Boumaraf: Blind separation of convolutive audio mixtures using nonstationarity, ICA’03 (2003) pp. 981–986
    • (2003) ICA’03 , pp. 981-986
    • Pham, D.-T.1    Servière, C.2    Boumaraf, H.3
  • 203
    • 35048902636 scopus 로고    scopus 로고
    • A novel method for permutation correction in frequency-domain in blind separation of speech mixtures
    • pp
    • C. Servière, D. Pham: A novel method for permutation correction in frequency-domain in blind separation of speech mixtures, ICA’04 (2004) pp. 807–815
    • (2004) ICA’04 , pp. 807-815
    • Servière, C.1    Pham, D.2
  • 204
    • 11144221083 scopus 로고    scopus 로고
    • Blind source separation for convolutive mixtures exploiting nongaussianity, nonwhiteness, and nonstationarity
    • pp
    • H. Buchner, R. Aichner, W. Kellermann: Blind source separation for convolutive mixtures exploiting nongaussianity, nonwhiteness, and nonstationarity, IWAENC’03 (2003) pp. 275–278
    • (2003) IWAENC’03 , pp. 275-278
    • Buchner, H.1    Aichner, R.2    Kellermann, W.3
  • 205
    • 35048890593 scopus 로고    scopus 로고
    • Real-time convolutive blind source separation based on a broadband approach
    • pp
    • R. Aichner, H. Buchner, F. Yan, W. Kellermann: Real-time convolutive blind source separation based on a broadband approach, ICA’04 (2004) pp. 840–848
    • (2004) ICA’04 , pp. 840-848
    • Aichner, R.1    Buchner, H.2    Yan, F.3    Kellermann, W.4
  • 206
    • 4544356482 scopus 로고    scopus 로고
    • Trinicon: A versatile framework for multichannel blind signal processing
    • H. Buchner, R. Aichner, W. Kellermann: Trinicon: A versatile framework for multichannel blind signal processing, Proc. ICASSP’04, Vol. 3 (2004) pp. 889– 892
    • (2004) Proc. ICASSP’04 , vol.3 , pp. 889-892
    • Buchner, H.1    Aichner, R.2    Kellermann, W.3
  • 207
    • 33646820067 scopus 로고    scopus 로고
    • On the causality problem in time-domain blind source separation and deconvolution algorithms
    • Vol., pp
    • R. Aichner, H. Buchner, W. Kellermann: On the causality problem in time-domain blind source separation and deconvolution algorithms, Proc. ICASSP’05, Vol. 5 (2005) pp. 181–184
    • (2005) Proc. ICASSP’05 , vol.5 , pp. 181-184
    • Aichner, R.1    Buchner, H.2    Kellermann, W.3
  • 208
    • 0033665623 scopus 로고    scopus 로고
    • Blind source separation of nonstationary convolutively mixed signals
    • pp
    • B.S. Krongold, D.L. Jones: Blind source separation of nonstationary convolutively mixed signals, SSAP’00 (2000) pp. 53–57
    • (2000) SSAP’00 , pp. 53-57
    • Krongold, B.S.1    Jones, D.L.2
  • 209
    • 0001867109 scopus 로고    scopus 로고
    • Blind source separation algorithm for MIMO convolutive mixtures
    • K. Rahbar, J.P. Reilly: Blind source separation algorithm for MIMO convolutive mixtures, ICA’01 (2001)
    • (2001) ICA’01
    • Rahbar, K.1    Reilly, J.P.2
  • 210
    • 84979950595 scopus 로고    scopus 로고
    • A novel approach to convolutive blind separation of close-to-orthogonal pulse sources using second-order statistics
    • pp
    • A. Holobar, D. Zazula: A novel approach to convolutive blind separation of close-to-orthogonal pulse sources using second-order statistics, EUSIPCO’04 (2004) pp. 381–384
    • (2004) EUSIPCO’04 , pp. 381-384
    • Holobar, A.1    Zazula, D.2
  • 211
    • 0033097299 scopus 로고    scopus 로고
    • Adaptive co-channel speech separation and recognition
    • K.-C. Yen, Y. Zhao: Adaptive co-channel speech separation and recognition, IEEE Trans Speech Audio Process. 7(2), 138–151 (1999)
    • (1999) IEEE Trans Speech Audio Process , vol.7 , Issue.2 , pp. 138-151
    • Yen, K.-C.1    Zhao, Y.2
  • 212
    • 84904302686 scopus 로고    scopus 로고
    • An extended ACDC algorithm for the blind estimation of convolutive mixing systems
    • pp
    • A. Mertins, I. Russel: An extended ACDC algorithm for the blind estimation of convolutive mixing systems, ISSPA’03, Vol. 2 (2003) pp. 527–530
    • (2003) ISSPA’03 , vol.2 , pp. 527-530
    • Mertins, A.1    Russel, I.2
  • 213
    • 4544289375 scopus 로고    scopus 로고
    • Fast convergence speech source separation in reverberant acoustic environment
    • Vol.,) pp
    • Y. Zhao, R. Hu: Fast convergence speech source separation in reverberant acoustic environment, Proc. ICASSP’04, Vol. 3 (2004) pp. 897–900
    • (2004) Proc. ICASSP’04 , vol.3 , pp. 897-900
    • Zhao, Y.1    Hu, R.2
  • 214
    • 4544304350 scopus 로고    scopus 로고
    • Blind source separation of nonstationary convolutively mixed signals in the subband domain
    • Vol., pp
    • I. Russell, J. Xi, A. Mertins, J. Chicharo: Blind source separation of nonstationary convolutively mixed signals in the subband domain, Proc. ICASSP’04, Vol. V (2004) pp. 484–484
    • (2004) Proc. ICASSP’04 , vol.5 , pp. 484-484
    • Russell, I.1    Xi, J.2    Mertins, A.3    Chicharo, J.4
  • 216
  • 217
    • 0032665688 scopus 로고    scopus 로고
    • A Schur method for multiuser multichannel blind identification
    • pp
    • L. Deneire, D.T. Slock: A Schur method for multiuser multichannel blind identification, Proc. ICASSP’99 (1999) pp. 2905–2908
    • (1999) Proc. ICASSP’99 , pp. 2905-2908
    • Deneire, L.1    Slock, D.T.2
  • 218
    • 0033902156 scopus 로고    scopus 로고
    • A two-stage algorithm for MIMO blind deconvolution of nonstationary colored signals
    • C.T. Ma, Z. Ding, S.F. Yau: A two-stage algorithm for MIMO blind deconvolution of nonstationary colored signals, IEEE Trans. Signal Process. 48(4), 1187–1192 (2000)
    • (2000) IEEE Trans. Signal Process. , vol.48 , Issue.4 , pp. 1187-1192
    • Ma, C.T.1    Ding, Z.2    Yau, S.F.3
  • 219
    • 0036298832 scopus 로고    scopus 로고
    • On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics
    • Vol., pp
    • I. Bradaric, A.P. Petropulu, K.I. Diamantaras: On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics, Proc. ICASSP’02, Vol. 2 (2002) pp. 1745–1748
    • (2002) Proc. ICASSP’02 , vol.2 , pp. 1745-1748
    • Bradaric, I.1    Petropulu, A.P.2    Diamantaras, K.I.3
  • 220
    • 0037304848 scopus 로고    scopus 로고
    • On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics
    • I. Bradaric, A.P. Petropulu, K.I. Diamantaras: On blind identifiability of FIR-MIMO systems with cyclostationary inputs using second order statistics, IEEE Trans. Signal Process. 51(2), 434–441 (2003)
    • (2003) IEEE Trans. Signal Process. , vol.51 , Issue.2 , pp. 434-441
    • Bradaric, I.1    Petropulu, A.P.2    Diamantaras, K.I.3
  • 221
    • 67650558187 scopus 로고    scopus 로고
    • Blind source separation for acoustical machine diagnosis
    • M. Knaak, M. Kunter, D. Filbert: Blind source separation for acoustical machine diagnosis, DSP’02 (2002)
    • (2002) DSP’02
    • Knaak, M.1    Kunter, M.2    Filbert, D.3
  • 222
    • 33646398970 scopus 로고    scopus 로고
    • Geometrically constrained ICA for robust separation of sound mixtures
    • pp
    • M. Knaak, S. Araki, S. Makino: Geometrically constrained ICA for robust separation of sound mixtures, ICA’03 (2003) pp. 951–956
    • (2003) ICA’03 , pp. 951-956
    • Knaak, M.1    Araki, S.2    Makino, S.3
  • 223
    • 5744222292 scopus 로고    scopus 로고
    • Blind separation of convolutive mixtures by decorrelation
    • T. Mei, F. Yin: Blind separation of convolutive mixtures by decorrelation, Signal Process. 84(12), 2297 (2004)
    • (2004) Signal Process , vol.84 , Issue.12 , pp. 2297
    • Mei, T.1    Yin, F.2
  • 224
    • 0036293936 scopus 로고    scopus 로고
    • On the approximate W-disjoint orthogonality of speech, Proc
    • Vol., pp
    • S. Rickard, O. Yilmaz: On the approximate W-disjoint orthogonality of speech, Proc. ICASSP’02, Vol. 1 (2002) pp. 529–532
    • (2002) ICASSP’02 , vol.1 , pp. 529-532
    • Rickard, S.1    Yilmaz, O.2
  • 225
    • 33749067654 scopus 로고    scopus 로고
    • DESPRIT-histogram based blind source separation of more sources than sensors using subspace methods
    • pp
    • S. Rickard, T. Melia, C. Fearon: DESPRIT-histogram based blind source separation of more sources than sensors using subspace methods, WASPAA’05 (2005) pp. 5–8
    • (2005) WASPAA’05 , pp. 5-8
    • Rickard, S.1    Melia, T.2    Fearon, C.3
  • 226
    • 0033692661 scopus 로고    scopus 로고
    • Blind separation of disjoint orthogonal signals: Demixing N sources from 2 mixtures
    • A. Jourjine, S. Rickard, O. Yilmaz: Blind separation of disjoint orthogonal signals: Demixing N sources from 2 mixtures, Proc. ICASSP’00, Vol. 5 (2000) pp. 2985–2988
    • (2000) Proc. ICASSP’00 , vol.5 , pp. 2985-2988
    • Jourjine, A.1    Rickard, S.2    Yilmaz, O.3
  • 227
    • 33646759922 scopus 로고    scopus 로고
    • Reducing musical noise by a fine-shift overlap-add method applied to source separation using a time-frequency mask
    • Vol.,) pp
    • S. Araki, S. Makino, H. Sawada, R. Mukai: Reducing musical noise by a fine-shift overlap-add method applied to source separation using a time-frequency mask, Proc. ICASSP’05, Vol. 3 (2005) pp. 81–84
    • (2005) Proc. ICASSP’05 , vol.3 , pp. 81-84
    • Araki, S.1    Makino, S.2    Sawada, H.3    Mukai, R.4
  • 228
    • 33745715346 scopus 로고    scopus 로고
    • Overcomplete blind source separation by combining ICA and binary time-frequency masking
    • M.S. Pedersen, D. Wang, J. Larsen, U. Kjems: Overcomplete blind source separation by combining ICA and binary time-frequency masking, MLSP’05 (2005)
    • (2005) MLSP’05
    • Pedersen, M.S.1    Wang, D.2    Larsen, J.3    Kjems, U.4
  • 229
    • 33745697459 scopus 로고    scopus 로고
    • Separating underdetermined convolutive speech mixtures
    • pp
    • M.S. Pedersen, D.L. Wang, J. Larsen, U. Kjems: Separating underdetermined convolutive speech mixtures, ICA’06 (2006) pp. 674–681
    • (2006) ICA’06 , pp. 674-681
    • Pedersen, M.S.1    Wang, D.L.2    Larsen, J.3    Kjems, U.4
  • 230
    • 33645163182 scopus 로고    scopus 로고
    • Blind extraction of a dominant source signal from mixtures of many sources
    • Vol.,) pp
    • H. Sawada, S. Araki, R. Mukai, S. Makino: Blind extraction of a dominant source signal from mixtures of many sources, Proc. ICASSP’05, Vol. 3 (2005) pp. 61–64
    • (2005) Proc. ICASSP’05 , vol.3 , pp. 61-64
    • Sawada, H.1    Araki, S.2    Mukai, R.3    Makino, S.4
  • 231
    • 84892188606 scopus 로고    scopus 로고
    • Exploring the time-frequency microstructure of speech for blind source separation
    • Vol.,) pp
    • H.-C. Wu, J.C. Principe, D. Xu: Exploring the time-frequency microstructure of speech for blind source separation, Proc. ICASSP’98, Vol. 2 (1998) pp. 1145– 1148
    • (1998) Proc. ICASSP’98 , vol.2 , pp. 1145-1148
    • Wu, H.-C.1    Principe, J.C.2    Xu, D.3
  • 232
    • 0141519347 scopus 로고    scopus 로고
    • A probabilistic approach for blind source separation of underdetermined convolutive mixtures
    • Vol.,) pp
    • J.M. Peterson, S. Kadambe: A probabilistic approach for blind source separation of underdetermined convolutive mixtures, Proc. ICASSP’03, Vol. 6 (2003) pp. 581–584
    • (2003) Proc. ICASSP’03 , vol.6 , pp. 581-584
    • Peterson, J.M.1    Kadambe, S.2
  • 233
    • 27844508680 scopus 로고    scopus 로고
    • Underdetermined blind separation of sparse sources with instantaneous and convolutive mixtures
    • pp
    • D. Luengo, I. Santamaria, L. Vielva, C. Panta-leon: Underdetermined blind separation of sparse sources with instantaneous and convolutive mixtures, NNSP’03 (2003) pp. 279–288
    • (2003) NNSP’03 , pp. 279-288
    • Luengo, D.1    Santamaria, I.2    Vielva, L.3    Panta-Leon, C.4
  • 234
    • 34250736618 scopus 로고    scopus 로고
    • Application of geometric dependency analysis to the seperation of convolved mixtures
    • pp
    • S.A. Abdallah, M.D. Plumbley: Application of geometric dependency analysis to the seperation of convolved mixtures, ICA’04 (2004) pp. 540–547
    • (2004) ICA’04 , pp. 540-547
    • Abdallah, S.A.1    Plumbley, M.D.2
  • 235
    • 26044447327 scopus 로고    scopus 로고
    • A geometric approach for separating several speech signals
    • pp
    • M. Babaie-Zadeh, A. Mansour, C. Jutten, F. Mar-vasti: A geometric approach for separating several speech signals, ICA’04 (2004) pp. 798–806
    • (2004) ICA’04 , pp. 798-806
    • Babaie-Zadeh, M.1    Mansour, A.2    Jutten, C.3    Mar-Vasti, F.4
  • 236
    • 5744252484 scopus 로고    scopus 로고
    • Blind source estimation of FIR channels for binary sources: A grouping decision approach
    • Y. Li, A. Cichocki, L. Zhang: Blind source estimation of FIR channels for binary sources: A grouping decision approach, Signal Process. 84(12), 2245–2263 (2004)
    • (2004) Signal Process , vol.84 , Issue.12 , pp. 2245-2263
    • Li, Y.1    Cichocki, A.2    Zhang, L.3
  • 237
    • 25444438090 scopus 로고    scopus 로고
    • Monaural source separation using spectral cues
    • pp
    • B.A. Pearlmutter, A.M. Zador: Monaural source separation using spectral cues, ICA’04 (2004) pp. 478–485
    • (2004) ICA’04 , pp. 478-485
    • Pearlmutter, B.A.1    Zador, A.M.2
  • 238
    • 35048843291 scopus 로고    scopus 로고
    • Non negative matrix factor deconvolution, extraction of multiple sound sources from monophonic inputs
    • pp
    • P. Smaragdis: Non negative matrix factor deconvolution, extraction of multiple sound sources from monophonic inputs, ICA’04 (2004) pp. 494–499
    • (2004) ICA’04 , pp. 494-499
    • Smaragdis, P.1
  • 239
    • 84882496252 scopus 로고    scopus 로고
    • Separation of sound sources by convolutive sparse coding
    • T. Virtanen: Separation of sound sources by convolutive sparse coding, SAPA’04 (2004)
    • (2004) SAPA’04
    • Virtanen, T.1
  • 242
    • 85075940224 scopus 로고
    • The GRASP sound separation system
    • pp
    • M. Weintraub: The GRASP sound separation system, Proc. ICASSP’84 (1984) pp. 69–72
    • (1984) Proc. ICASSP’84 , pp. 69-72
    • Weintraub, M.1
  • 243
    • 33646798101 scopus 로고    scopus 로고
    • Perceptually motivated blind source separation of convolutive mixtures, Proc
    • Vol., pp
    • R.R. Guddeti, B. Mulgrew: Perceptually motivated blind source separation of convolutive mixtures, Proc. ICASSP’05, Vol. V (2005) pp. 273–276
    • (2005) ICASSP’05 , vol.5 , pp. 273-276
    • Guddeti, R.R.1    Mulgrew, B.2
  • 244
    • 0036649241 scopus 로고    scopus 로고
    • Estimation of speech embedded in a reverberant and noisy environment by independent component analysis and wavelets
    • A.K. Barros, T. Rutkowski, F. Itakura, N. Ohnishi: Estimation of speech embedded in a reverberant and noisy environment by independent component analysis and wavelets, IEEE Trans. Neural Netw. 13(4), 888–893 (2002)
    • (2002) IEEE Trans. Neural Netw. , vol.13 , Issue.4 , pp. 888-893
    • Barros, A.K.1    Rutkowski, T.2    Itakura, F.3    Ohnishi, N.4
  • 245
    • 33645605700 scopus 로고    scopus 로고
    • Introducing new mechanism in the learning process of FDICA-based speech separation
    • pp
    • M. Furukawa, Y. Hioka, T. Ema, N. Hamada: Introducing new mechanism in the learning process of FDICA-based speech separation, IWAENC’03 (2003) pp. 291–294
    • (2003) IWAENC’03 , pp. 291-294
    • Furukawa, M.1    Hioka, Y.2    Ema, T.3    Hamada, N.4
  • 246
    • 0027993985 scopus 로고
    • The sound of a sinusoid: Spectral models
    • R.D. Patterson: The sound of a sinusoid: Spectral models, J. Acoust Soc. Am. 96, 1409–1418 (1994)
    • (1994) J. Acoust Soc. Am. , vol.96 , pp. 1409-1418
    • Patterson, R.D.1
  • 247
    • 85075954867 scopus 로고    scopus 로고
    • Speech enhancement from interfering sounds using CASA techniques and blind source separation
    • pp
    • T. Rutkowski, A. Cichocki, A.K. Barros: Speech enhancement from interfering sounds using CASA techniques and blind source separation, ICA’01 (2001) pp. 728–733
    • (2001) ICA’01 , pp. 728-733
    • Rutkowski, T.1    Cichocki, A.2    Barros, A.K.3
  • 248
    • 0142026377 scopus 로고    scopus 로고
    • Speech segregation based on sound localization
    • N. Roman, D. Wang, G.J. Brown: Speech segregation based on sound localization, J. Acoust. Soc. Am. 114(4), 2236–2252 (2003)
    • (2003) J. Acoust. Soc. Am. , vol.114 , Issue.4 , pp. 2236-2252
    • Roman, N.1    Wang, D.2    Brown, G.J.3
  • 249
    • 0142248328 scopus 로고    scopus 로고
    • Blind source separation of acoustic signals based on multistage ICA combining frequency-domain ICA and time-domain ICA
    • T. Nishikawa, H. Saruwatari, K. Shikano: Blind source separation of acoustic signals based on multistage ICA combining frequency-domain ICA and time-domain ICA, IEICE Trans. Fundamentals E86-A(4), 846–858 (2003)
    • (2003) IEICE Trans. Fundamentals E86-A , Issue.4 , pp. 846-858
    • Nishikawa, T.1    Saruwatari, H.2    Shikano, K.3
  • 250
    • 0031385290 scopus 로고    scopus 로고
    • Efficient blind separation of convolved sound mixtures
    • P. Smaragdis: Efficient blind separation of convolved sound mixtures, WASPAA’97 (1997)
    • (1997) WASPAA’97
    • Smaragdis, P.1
  • 251
    • 34247162934 scopus 로고    scopus 로고
    • Audio source separation
    • ed. by J.G. McWhirter, I.K. Proudler (Oxford Univ. Press, Oxford
    • M. Davies: Audio source separation. In: Mathematics in Signal Processing V, ed. by J.G. McWhirter, I.K. Proudler (Oxford Univ. Press, Oxford 2001)
    • (2001) Mathematics in Signal Processing V
    • Davies, M.1
  • 252
    • 0141520511 scopus 로고    scopus 로고
    • Fast convolutive blind speech separation via subband adaptation
    • F. Duplessis-Beaulieu, B. Champagne: Fast convolutive blind speech separation via subband adaptation, Proc. ICASSP’03, Vol. 5 (2003) pp. 513– 516
    • (2003) Proc. ICASSP’03 , vol.5 , pp. 513-516
    • Duplessis-Beaulieu, F.1    Champagne, B.2
  • 253
    • 84979897059 scopus 로고    scopus 로고
    • Separation of speech signals under reverberant conditions
    • pp
    • C. Servière: Separation of speech signals under reverberant conditions, EUSIPCO’04 (2004) pp. 1693–1696
    • (2004) EUSIPCO’04 , pp. 1693-1696
    • Servière, C.1
  • 254
    • 84898994677 scopus 로고    scopus 로고
    • Blind separation of delayed and convolved sources
    • Vol.,) pp
    • T.-W. Lee, A.J. Bell, R.H. Lambert: Blind separation of delayed and convolved sources, NIPS, Vol. 9 (1997) pp. 758–764
    • (1997) NIPS , vol.9 , pp. 758-764
    • Lee, T.-W.1    Bell, A.J.2    Lambert, R.H.3
  • 255
    • 84892176648 scopus 로고    scopus 로고
    • Combining time-delayed decorrelation and ICA: Towards solving the cocktail party problem
    • Vol.,) pp
    • T.-W. Lee, A. Ziehe, R. Orglmeister, T.J. Sejnowski: Combining time-delayed decorrelation and ICA: towards solving the cocktail party problem, Proc. ICASSP’98, Vol. 2 (1998) pp. 1249–1252
    • (1998) Proc. ICASSP’98 , vol.2 , pp. 1249-1252
    • Lee, T.-W.1    Ziehe, A.2    Orglmeister, R.3    Sejnowski, T.J.4
  • 256
    • 33645675224 scopus 로고    scopus 로고
    • Blind separation of real world audio signals using overdetermined mixtures
    • A. Westner, V.M. Bove Jr.: Blind separation of real world audio signals using overdetermined mixtures, ICA’99 (1999)
    • (1999) ICA’99
    • Westner, A.1    Bove, M.2
  • 257
    • 33744986234 scopus 로고    scopus 로고
    • Multichannel blind deconvolution for source separation in convolutive mixtures of speech
    • K. Kokkinakis, A.K. Nandi: Multichannel blind deconvolution for source separation in convolutive mixtures of speech, IEEE Trans. Audio Speech Lang. Process. 14(1), 200–212 (2006)
    • (2006) IEEE Trans. Audio Speech Lang. Process. , vol.14 , Issue.1 , pp. 200-212
    • Kokkinakis, K.1    Nandi, A.K.2
  • 259
    • 4344670887 scopus 로고    scopus 로고
    • Convolutive blind source separation for more than two sources in the frequency domain
    • Vol.,) pp
    • H. Sawada, R. Mukai, S. Araki, S. Makino: Convolutive blind source separation for more than two sources in the frequency domain, Proc. ICASSP’04, Vol. III (2004) pp. 885–888
    • (2004) Proc. ICASSP’04 , vol.3 , pp. 885-888
    • Sawada, H.1    Mukai, R.2    Araki, S.3    Makino, S.4
  • 260
    • 0009974166 scopus 로고    scopus 로고
    • A new blind signal separation algorithm based on second-order statistics
    • pp
    • D.W.E. Schobben, P.C.W. Sommen: A new blind signal separation algorithm based on second-order statistics, IASTED SIP’06 (1998) pp. 564–569
    • (1998) IASTED SIP’06 , pp. 564-569
    • Schobben, D.W.E.1    Sommen, P.C.W.2
  • 261
    • 84898688036 scopus 로고    scopus 로고
    • Speech de-noising and dereverberation using probabilistic models
    • H. Attias, J.C. Platt, A. Acero, L. Deng: Speech de-noising and dereverberation using probabilistic models, NIPS’01, Vol. 13 (2001)
    • (2001) NIPS’01 , vol.13
    • Attias, H.1    Platt, J.C.2    Acero, A.3    Deng, L.4
  • 262
    • 33745683219 scopus 로고    scopus 로고
    • A novel normalization and regularization scheme for broadband convolutive blind source separation
    • pp
    • R. Aichner, H. Buchner, W. Kellermann: A novel normalization and regularization scheme for broadband convolutive blind source separation, ICA’06 (2006) pp. 527–535
    • (2006) ICA’06 , pp. 527-535
    • Aichner, R.1    Buchner, H.2    Kellermann, W.3
  • 263
    • 0141739952 scopus 로고    scopus 로고
    • Blind source separation with different sensor spacing and filter length for each frequency range
    • pp
    • H. Sawada, S. Araki, R. Mukai, S. Makino: Blind source separation with different sensor spacing and filter length for each frequency range, NNSP’02 (2002) pp. 465–474
    • (2002) NNSP’02 , pp. 465-474
    • Sawada, H.1    Araki, S.2    Mukai, R.3    Makino, S.4
  • 264
    • 0032212942 scopus 로고    scopus 로고
    • Blind separation of convolved mixtures in the frequency domain
    • P. Smaragdis: Blind separation of convolved mixtures in the frequency domain, Neurocomputing 22(1–3), 21–34 (1998)
    • (1998) Neurocomputing , vol.22 , Issue.1-3 , pp. 21-34
    • Smaragdis, P.1
  • 265
    • 51849165874 scopus 로고
    • A wideband blind identification approach to speech acquisition using a microphone array
    • Vol.,) pp
    • V.C. Soon, L. Tong, Y.F. Huang, R. Liu: A wideband blind identification approach to speech acquisition using a microphone array, Proc. ICASSP’92, Vol. 1 (1992) pp. 293–296
    • (1992) Proc. ICASSP’92 , vol.1 , pp. 293-296
    • Soon, V.C.1    Tong, L.2    Huang, Y.F.3    Liu, R.4
  • 266
    • 0033708095 scopus 로고    scopus 로고
    • Evaluation of frequency-domain blind signal separation using directivity pattern under reverberant conditions
    • pp
    • S. Kurita, H. Saruwatari, S. Kajita, K. Takeda, F. Itakura: Evaluation of frequency-domain blind signal separation using directivity pattern under reverberant conditions, Proc. ICASSP’00 (2000) pp. 3140–3143
    • (2000) Proc. ICASSP’00 , pp. 3140-3143
    • Kurita, S.1    Saruwatari, H.2    Kajita, S.3    Takeda, K.4    Itakura, F.5
  • 267
    • 0038782373 scopus 로고    scopus 로고
    • Combined approach of array processing and independent component analysis for blind separation of acoustic signals
    • F. Asano, S. Ikeda, M. Ogawa, H. Asoh, N. Kitawaki: Combined approach of array processing and independent component analysis for blind separation of acoustic signals, IEEE Trans. Speech Audio Process. 11(3), 204–215 (2003)
    • (2003) IEEE Trans. Speech Audio Process. , vol.11 , Issue.3 , pp. 204-215
    • Asano, F.1    Ikeda, S.2    Ogawa, M.3    Asoh, H.4    Kitawaki, N.5
  • 268
    • 35048869636 scopus 로고    scopus 로고
    • Permutation alignment for frequency domain ICA using subspace beamforming methods
    • N. Mitianoudis, M.E. Davies: Permutation alignment for frequency domain ICA using subspace beamforming methods, ICA’04 (2004) pp. 669– 676
    • (2004) ICA’04 , pp. 669-676
    • Mitianoudis, N.1    Davies, M.E.2
  • 270
    • 12744274038 scopus 로고    scopus 로고
    • Permutation correction and speech extraction based on split spectrum through fastICA
    • pp
    • H. Gotanda, K. Nobu, T. Koya, K. Kaneda, T. Ishibashi, N. Haratani: Permutation correction and speech extraction based on split spectrum through fastICA, ICA’03 (2003) pp. 379–384
    • (2003) ICA’03 , pp. 379-384
    • Gotanda, H.1    Nobu, K.2    Koya, T.3    Kaneda, K.4    Ishibashi, T.5    Haratani, N.6
  • 271
    • 4544244548 scopus 로고    scopus 로고
    • Subband based blind source separation with appropriate processing for each frequency band
    • pp
    • S. Araki, S. Makino, R. Aichner, T. Nishikawa, H. Saruwatari: Subband based blind source separation with appropriate processing for each frequency band, ICA’03 (2003) pp. 499–504
    • (2003) ICA’03 , pp. 499-504
    • Araki, S.1    Makino, S.2    Aichner, R.3    Nishikawa, T.4    Saruwatari, H.5
  • 272
    • 0003371952 scopus 로고    scopus 로고
    • Amplitude modulation decorrelation for convolutive blind sourc separation
    • pp
    • J. Anemüller, B. Kollmeier: Amplitude modulation decorrelation for convolutive blind sourc separation, ICA’00 (2000) pp. 215–220
    • (2000) ICA’00 , pp. 215-220
    • Anemüller, J.1    Kollmeier, B.2
  • 273
    • 9944256105 scopus 로고    scopus 로고
    • Blind separation of convolved cyclostationary processes
    • J. Antoni, F. Guillet, M. El Badaoui, F. Bonnar-dot: Blind separation of convolved cyclostationary processes, Signal Process. 85(1), 51–66 (2005)
    • (2005) Signal Process , vol.85 , Issue.1 , pp. 51-66
    • Antoni, J.1    Guillet, F.2    El Badaoui, M.3    Bonnar-Dot, F.4
  • 274
    • 27644469086 scopus 로고    scopus 로고
    • A simplified frequency-domain approach for blind separation of convolutive mixtures
    • pp
    • A. Dapena, C. Serviere: A simplified frequency-domain approach for blind separation of convolutive mixtures, ICA’01 (2001) pp. 569–574
    • (2001) ICA’01 , pp. 569-574
    • Dapena, A.1    Serviere, C.2
  • 275
    • 0002124994 scopus 로고    scopus 로고
    • Frequency-domain infomax for blind separation of convolutive mixtures
    • pp
    • C. Mejuto, A. Dapena, L. Castedo: Frequency-domain infomax for blind separation of convolutive mixtures, ICA’00 (2000) pp. 315–320
    • (2000) ICA’00 , pp. 315-320
    • Mejuto, C.1    Dapena, A.2    Castedo, L.3
  • 276
    • 0141577475 scopus 로고    scopus 로고
    • New fixed-point ICA algorithms for convolved mixtures
    • pp
    • N. Mitianoudis, M. Davies: New fixed-point ICA algorithms for convolved mixtures, ICA’01 (2001) pp. 633–638
    • (2001) ICA’01 , pp. 633-638
    • Mitianoudis, N.1    Davies, M.2
  • 277
    • 33745697458 scopus 로고    scopus 로고
    • Complex fastiva: A robust maximum likelihood approach of mica for convolutive bss
    • pp
    • I. Lee, T. Kim, T.-W. Lee: Complex fastiva: A robust maximum likelihood approach of mica for convolutive bss, ICA’06 (2006) pp. 625–632
    • (2006) ICA’06 , pp. 625-632
    • Lee, I.1    Kim, T.2    Lee, T.-W.3
  • 279
    • 4544247268 scopus 로고    scopus 로고
    • A method for directionally-disjoint source separation in convolutive environment, Proc
    • Vol., pp
    • S. Dubnov, J. Tabrikain, M. Arnon-Targan: A method for directionally-disjoint source separation in convolutive environment, Proc. ICASSP’04, Vol. V (2004) pp. 489–492
    • (2004) ICASSP’04 , vol.5 , pp. 489-492
    • Dubnov, S.1    Tabrikain, J.2    Arnon-Targan, M.3
  • 280
    • 33745683238 scopus 로고    scopus 로고
    • Solution of permutation problem in frequency domain ica, using multivariate probability density functions
    • pp
    • A. Hiroe: Solution of permutation problem in frequency domain ica, using multivariate probability density functions, ICA’06 (2006) pp. 601–608
    • (2006) ICA’06 , pp. 601-608
    • Hiroe, A.1
  • 281
    • 85075916125 scopus 로고    scopus 로고
    • Optimal permutation correlation by multiob-jective genetic algorithms
    • D. Kolossa, B.-U. Köhler, M. Conrath, R. Orgelmeister: Optimal permutation correlation by multiob-jective genetic algorithms, ICA’01 (2001) pp. 373– 378
    • (2001) ICA’01 , pp. 373-378
    • Kolossa, D.1    Köhler, B.-U.2    Conrath, M.3    Orgelmeister, R.4
  • 282
    • 35048855567 scopus 로고    scopus 로고
    • A new approach to the permutation problem in frequency domain blind source separation
    • pp
    • K. Kamata, X. Hu, H. Kobataka: A new approach to the permutation problem in frequency domain blind source separation, ICA’04 (2004) pp. 849–856
    • (2004) ICA’04 , pp. 849-856
    • Kamata, K.1    Hu, X.2    Kobataka, H.3
  • 283
    • 4544372587 scopus 로고    scopus 로고
    • Blind source separation and deconvolution: The dynamic component analysis algorithm
    • H. Attias, C.E. Schreiner: Blind source separation and deconvolution: The dynamic component analysis algorithm, Neural Comput. 11, 803–852 (1998)
    • (1998) Neural Comput , vol.11 , pp. 803-852
    • Attias, H.1    Schreiner, C.E.2
  • 285
    • 33745725493 scopus 로고    scopus 로고
    • On calculating the inverse of separation matrix in frequency-domain blind source separation
    • pp
    • H. Sawada, S. Araki, R. Mukai, S. Makino: On calculating the inverse of separation matrix in frequency-domain blind source separation, ICA’06 (2006) pp. 691–699
    • (2006) ICA’06 , pp. 691-699
    • Sawada, H.1    Araki, S.2    Mukai, R.3    Makino, S.4
  • 286
    • 0027237921 scopus 로고
    • A robust method for wideband signal separation
    • pp
    • V.C. Soon, L. Tong, Y.F. Huang, R. Liu: A robust method for wideband signal separation, ISCAS’93 (1993) pp. 703–706
    • (1993) ISCAS’93 , pp. 703-706
    • Soon, V.C.1    Tong, L.2    Huang, Y.F.3    Liu, R.4
  • 287
    • 50249137701 scopus 로고    scopus 로고
    • Removal of residual cross-talk components in blind source separation using LMS filters
    • pp
    • R. Mukai, S. Araki, H. Sawada, S. Makino: Removal of residual cross-talk components in blind source separation using LMS filters, NNSP’02 (2002) pp. 435–444
    • (2002) NNSP’02 , pp. 435-444
    • Mukai, R.1    Araki, S.2    Sawada, H.3    Makino, S.4
  • 288
    • 85009126346 scopus 로고    scopus 로고
    • Blind source separation based on subband ICA and beamforming
    • Vol., pp
    • H. Saruwatari, S. Kurita, K. Takeda, F. Itakura, K. Shikano: Blind source separation based on subband ICA and beamforming, ICSLP’00, Vol. 3 (2000) pp. 94–97
    • (2000) ICSLP’00 , vol.3 , pp. 94-97
    • Saruwatari, H.1    Kurita, S.2    Takeda, K.3    Itakura, F.4    Shikano, K.5
  • 291
    • 4544243189 scopus 로고    scopus 로고
    • Nearfield frequency domain blind source separation for convolutive mixtures
    • Vol.,) pp
    • R. Mukai, H. Sawada, S. Araki, S. Makino: Nearfield frequency domain blind source separation for convolutive mixtures, Proc. ICASSP’04, Vol. 4 (2004) pp. 49–52
    • (2004) Proc. ICASSP’04 , vol.4 , pp. 49-52
    • Mukai, R.1    Sawada, H.2    Araki, S.3    Makino, S.4
  • 292
    • 0022690077 scopus 로고
    • Multiple source DF signal processing: An experimental system
    • R.O. Schmidt, R.E. Franks: Multiple source DF signal processing: an experimental system, IEEE Trans. Ant. Prop. 4(3), 281–290 (1986)
    • (1986) IEEE Trans. Ant. Prop. , vol.4 , Issue.3 , pp. 281-290
    • Schmidt, R.O.1    Franks, R.E.2
  • 293
  • 294
    • 0007570305 scopus 로고    scopus 로고
    • Evaluation and real-time implementation of blind source separation system using time-delayed decorrelation
    • pp
    • F. Asano, S. Ikeda: Evaluation and real-time implementation of blind source separation system using time-delayed decorrelation, ICA’00 (2000) pp. 411–416
    • (2000) ICA’00 , pp. 411-416
    • Asano, F.1    Ikeda, S.2
  • 295
    • 4544284715 scopus 로고    scopus 로고
    • Multistage SIMO-model-based blind source sep-aration combining frequenct-domain ICA and time-domain ICA
    • Vol.,) pp
    • S. Ukai, H. Saruwatari, T. Takatani, R. Mukai: Multistage SIMO-model-based blind source sep-aration combining frequenct-domain ICA and time-domain ICA, Proc. ICASSP’04, Vol. IV (2004) pp. 109–112
    • (2004) Proc. ICASSP’04 , vol.4 , pp. 109-112
    • Ukai, S.1    Saruwatari, H.2    Takatani, T.3    Mukai, R.4
  • 296
    • 4544354379 scopus 로고    scopus 로고
    • Blind separation of more speech than sensors with less distortion by combining sparseness and ICA
    • pp
    • S. Araki, S. Makino, A. Blin, R. Mukai, H. Sawada: Blind separation of more speech than sensors with less distortion by combining sparseness and ICA, IWAENC’03 (2003) pp. 271–274
    • (2003) IWAENC’03 , pp. 271-274
    • Araki, S.1    Makino, S.2    Blin, A.3    Mukai, R.4    Sawada, H.5
  • 297
    • 4243078572 scopus 로고    scopus 로고
    • Blind source separation for moving speech signals using blockwise ICA and residual crosstalk subtraction
    • R. Mukai, H. Sawada, S. Arakiand, S. Makino: Blind source separation for moving speech signals using blockwise ICA and residual crosstalk subtraction, IEICE Trans. Fundamentals E87-A(8), 1941–1948 (2004)
    • (2004) IEICE Trans. Fundamentals , vol.E87-A , Issue.8 , pp. 1941-1948
    • Mukai, R.1    Sawada, H.2    Arakiand, S.3    Makino, S.4
  • 298
    • 35048903601 scopus 로고    scopus 로고
    • Frequency domain blind source separation for many speech signals
    • pp
    • R. Mukai, H. Sawada, S. Araki, S. Makino: Frequency domain blind source separation for many speech signals, ICA’04 (2004) pp. 461–469
    • (2004) ICA’04 , pp. 461-469
    • Mukai, R.1    Sawada, H.2    Araki, S.3    Makino, S.4
  • 299
    • 33745711505 scopus 로고    scopus 로고
    • ICA and binary-mask- based blind source separation with small directional microphones
    • Y. Mori, H. Saruwatari, T. Takatani, K. Shikano, T. Hiekata, T. Morita: ICA and binary-mask- based blind source separation with small directional microphones, ICA’06 (2006) pp. 649– 657
    • (2006) ICA’06 , pp. 649-657
    • Mori, Y.1    Saruwatari, H.2    Takatani, T.3    Shikano, K.4    Hiekata, T.5    Morita, T.6
  • 300
    • 7744231747 scopus 로고    scopus 로고
    • Stable learning algorithm for blind separation of temporally correlated signals combining multistage ICA and linear prediction
    • T. Nishikawa, H. Saruwatari, K. Shikano: Stable learning algorithm for blind separation of temporally correlated signals combining multistage ICA and linear prediction, ICA’03 (2003) pp. 337– 342
    • (2003) ICA’03 , pp. 337-342
    • Nishikawa, T.1    Saruwatari, H.2    Shikano, K.3
  • 301
    • 4544225610 scopus 로고    scopus 로고
    • Blind separation of binaural sound mixtures using SIMO-model-based independent component analysis
    • Vol.,) pp
    • T. Takatani, T. Nishikawa, H. Saruwatari, K. Shikano: Blind separation of binaural sound mixtures using SIMO-model-based independent component analysis, Proc. ICASSP’04, Vol. IV (2004) pp. 113– 116
    • (2004) Proc. ICASSP’04 , vol.4 , pp. 113-116
    • Takatani, T.1    Nishikawa, T.2    Saruwatari, H.3    Shikano, K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.