메뉴 건너뛰기




Volumn 4, Issue 7-8, 2004, Pages 1319-1338

Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation

Author keywords

Blind Source Separation; Gaussianization; Maximal Correlation; Post nonlinear Mixture; Temporal Decorrelation

Indexed keywords

ALGORITHMS; CORRELATION METHODS; DATA COMMUNICATION SYSTEMS; DATA RECORDING; FUNCTIONS; MATHEMATICAL MODELS;

EID: 8344255796     PISSN: 15324435     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (50)

References (54)
  • 2
    • 33749754615 scopus 로고    scopus 로고
    • A new learning algorithm for blind source separation
    • D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, editors, MIT Press, Cambridge, MA
    • S. Amari, A. Cichocki, and H.-H. Yang. A new learning algorithm for blind source separation. In D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, editors, Advances in Neural Information Processing Systems, volume 8, pages 757-763. MIT Press, Cambridge, MA, 1996.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 757-763
    • Amari, S.1    Cichocki, A.2    Yang, H.-H.3
  • 3
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • A.J. Bell and T.J. Sejnowski. An information-maximization approach to blind separation and blind deconvolution. Neural Computation, 7:1129-1159, 1995.
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 6
    • 84950771789 scopus 로고
    • Estimating optimal transformations for multiple regression and correlation
    • L. Breiman and J.H. Friedman. Estimating optimal transformations for multiple regression and correlation. Journal of the American Statistical Association, 80(391):580-598, 1985.
    • (1985) Journal of the American Statistical Association , vol.80 , Issue.391 , pp. 580-598
    • Breiman, L.1    Friedman, J.H.2
  • 7
    • 0027812550 scopus 로고
    • Blind beamforming for non Gaussian signals
    • J.-F. Cardoso and A. Souloumiac. Blind beamforming for non Gaussian signals. IEE Proceedings-F, 140(6):362-370, 1993.
    • (1993) IEE Proceedings-F , vol.140 , Issue.6 , pp. 362-370
    • Cardoso, J.-F.1    Souloumiac, A.2
  • 8
    • 0030544243 scopus 로고    scopus 로고
    • Jacobi angles for simultaneous diagonalization
    • J.-F. Cardoso and A. Souloumiac. Jacobi angles for simultaneous diagonalization. SIAM J. Mat.Anal.Appl. 17(1):161-164, 1996.
    • (1996) SIAM J. Mat.Anal.Appl. , vol.17 , Issue.1 , pp. 161-164
    • Cardoso, J.-F.1    Souloumiac, A.2
  • 9
    • 0028416938 scopus 로고
    • Independent component analysis - A new concept?
    • P. Comon. Independent component analysis - a new concept? Signal Processing, 36:287-314, 1994.
    • (1994) Signal Processing , vol.36 , pp. 287-314
    • Comon, P.1
  • 10
    • 0028837607 scopus 로고
    • Linear redundancy reduction learning
    • G. Deco and D. Obradovic. Linear redundancy reduction learning. Neural Networks, 8(5):751-755, 1995.
    • (1995) Neural Networks , vol.8 , Issue.5 , pp. 751-755
    • Deco, G.1    Obradovic, D.2
  • 12
    • 84898966891 scopus 로고    scopus 로고
    • Kernel feature spaces and nonlinear blind source separation
    • T.G. Dietterich, S. Becker, and Z. Ghahramani, editors, MIT Press
    • S. Harmeling, A. Ziehe, M. Kawanabe, and K.-R. Müller. Kernel feature spaces and nonlinear blind source separation. In T.G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems, volume 14, pages 761-768. MIT Press, 2002.
    • (2002) Advances in Neural Information Processing Systems , vol.14 , pp. 761-768
    • Harmeling, S.1    Ziehe, A.2    Kawanabe, M.3    Müller, K.-R.4
  • 16
    • 0346307721 scopus 로고    scopus 로고
    • A fast fixed-point algorithm for independent component analysis
    • A. Hyvärinen and E. Oja. A fast fixed-point algorithm for independent component analysis. Neural Computation, 9(7):1483-1492, 1997.
    • (1997) Neural Computation , vol.9 , Issue.7 , pp. 1483-1492
    • Hyvärinen, A.1    Oja, E.2
  • 17
    • 0026191274 scopus 로고
    • Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture
    • C. Jutten and J. Hérault. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture. Signal Processing, 24:1-10, 1991.
    • (1991) Signal Processing , vol.24 , pp. 1-10
    • Jutten, C.1    Hérault, J.2
  • 20
    • 0031124708 scopus 로고    scopus 로고
    • Blind separation of sources using temporal correlation of the observed signals
    • M. Kawamoto, K. Matsuoka, and M. Oya. Blind separation of sources using temporal correlation of the observed signals. IEICE Trans. Fundamentals, E80-A(4):695-704, 1997.
    • (1997) IEICE Trans. Fundamentals , vol.E80-A , Issue.4 , pp. 695-704
    • Kawamoto, M.1    Matsuoka, K.2    Oya, M.3
  • 21
    • 0036298132 scopus 로고    scopus 로고
    • Blind separation of nonlinear convolved speech mixtures
    • Orlando, Florida
    • A, Koutras. Blind separation of nonlinear convolved speech mixtures. In Proc. ICASSP 2002, pages 913-919, Orlando, Florida, 2002.
    • (2002) Proc. ICASSP 2002 , pp. 913-919
    • Koutras, A.1
  • 22
    • 0032096663 scopus 로고    scopus 로고
    • Radio frequency integrated circuit technology low-power wireless communications
    • L. E. Larson. Radio frequency integrated circuit technology low-power wireless communications. IEEE Personal Communications, 5(3):11-19, 1998.
    • (1998) IEEE Personal Communications , vol.5 , Issue.3 , pp. 11-19
    • Larson, L.E.1
  • 24
    • 84892176648 scopus 로고    scopus 로고
    • Combining time-delayed decorrelation and ICA: Towards solving the cocktail party problem
    • Seattle
    • T.-W. Lee, A. Ziehe, R.Orglmeister, and T.J. Sejnowski. Combining time-delayed decorrelation and ICA: Towards solving the cocktail party problem. In Proc. ICASSP98, volume 2, pages 1249-1252, Seattle, 1998.
    • (1998) Proc. ICASSP98 , vol.2 , pp. 1249-1252
    • Lee, T.-W.1    Ziehe, A.2    Orglmeister, R.3    Sejnowski, T.J.4
  • 25
    • 0000620924 scopus 로고    scopus 로고
    • Faithful representation of separable distributions
    • J. K. Lin, D. G. Grier, and J. D. Cowan. Faithful representation of separable distributions. Neural Computation, 9(6):1305-1320, 1997.
    • (1997) Neural Computation , vol.9 , Issue.6 , pp. 1305-1320
    • Lin, J.K.1    Grier, D.G.2    Cowan, J.D.3
  • 27
    • 0000302959 scopus 로고
    • Separation of a mixture of independent signals using time delayed correlations
    • L. Molgedey and H. G. Schuster. Separation of a mixture of independent signals using time delayed correlations. Physical Review Letters, 72(23):3634-3637, 1994.
    • (1994) Physical Review Letters , vol.72 , Issue.23 , pp. 3634-3637
    • Molgedey, L.1    Schuster, H.G.2
  • 30
    • 0035659640 scopus 로고    scopus 로고
    • An approach to blind source separation based on temporal structure of speech signals
    • N. Murata, S. Ikeda, and 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
  • 34
    • 0000914334 scopus 로고    scopus 로고
    • Convolutive blind source separation of non-stationary sources
    • US Patent US6167417
    • L.C. Parra and C. Spence. Convolutive blind source separation of non-stationary sources. IEEE Trans. on Speech and Audio Processing, 8(3):320-327, 2000. US Patent US6167417.
    • (2000) IEEE Trans. on Speech and Audio Processing , vol.8 , Issue.3 , pp. 320-327
    • Parra, L.C.1    Spence, C.2
  • 35
    • 0035537406 scopus 로고    scopus 로고
    • Joint approximate diagonalization of positive definite matrices
    • D.-T. Pham. Joint approximate diagonalization of positive definite matrices. SIAM J. on Matrix Anal. and Appl., 22(4):1136-1152, 2001.
    • (2001) SIAM J. on Matrix Anal. and Appl. , vol.22 , Issue.4 , pp. 1136-1152
    • Pham, D.-T.1
  • 36
    • 0031191456 scopus 로고    scopus 로고
    • Blind separation of mixture of independent sources through a quasi-maximum likelihood approach
    • D.-T. Pham and P. Garrat. Blind separation of mixture of independent sources through a quasi-maximum likelihood approach. IEEE Trans. on Signal Processing, 45(7):1712-1725, 1997.
    • (1997) IEEE Trans. on Signal Processing , vol.45 , Issue.7 , pp. 1712-1725
    • Pham, D.-T.1    Garrat, P.2
  • 37
    • 0003207190 scopus 로고
    • Measuring statistical dependences in a time series
    • B. Pompe. Measuring statistical dependences in a time series. J. Stat. Phys., 73:587-610, 1993.
    • (1993) J. Stat. Phys. , vol.73 , pp. 587-610
    • Pompe, B.1
  • 40
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel Eigenvalue problem
    • B. Schölkopf, A.J. Smola, and K.-R. Müller. Nonlinear component analysis as a kernel Eigenvalue problem. Neural Computation, 10:1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.J.2    Müller, K.-R.3
  • 42
    • 0036684707 scopus 로고    scopus 로고
    • A generic framework for blind source separation in structured nonlinear models
    • A. Taleb. A generic framework for blind source separation in structured nonlinear models. IEEE Trans. on Signal Processing, 50(8):1819-1830, 2002.
    • (2002) IEEE Trans. on Signal Processing , vol.50 , Issue.8 , pp. 1819-1830
    • Taleb, A.1
  • 44
    • 0033341734 scopus 로고    scopus 로고
    • Source separation in post-nonlinear mixtures
    • A, Taleb and C. Jutten. Source separation in post-nonlinear mixtures. IEEE Trans. on Signal Processing, 47(10):2807-2820, 1999.
    • (1999) IEEE Trans. on Signal Processing , vol.47 , Issue.10 , pp. 2807-2820
    • Taleb, A.1    Jutten, C.2
  • 46
    • 0038036528 scopus 로고    scopus 로고
    • Nonlinear blind source separation by variational Bayesian learning
    • March
    • H. Valpola, E. Oja, A. Ilin, A. Honkela, and J. Karhunen. Nonlinear blind source separation by variational Bayesian learning. IEICE Transactions (Japan), E86-A(3), March 2003. To appear in a Special Section on Blind Signal Processing (Invited paper).
    • (2003) IEICE Transactions (Japan) , vol.E86-A , Issue.3
    • Valpola, H.1    Oja, E.2    Ilin, A.3    Honkela, A.4    Karhunen, J.5
  • 48
    • 0032002601 scopus 로고    scopus 로고
    • Information-theoretic approach to blind separation of sources in non-linear mixture
    • H.-H. Yang, S. Amari, and A. Cichocki. Information-theoretic approach to blind separation of sources in non-linear mixture. Signal Processing, 64(3):291-300, 1998.
    • (1998) Signal Processing , vol.64 , Issue.3 , pp. 291-300
    • Yang, H.-H.1    Amari, S.2    Cichocki, A.3
  • 49
    • 0033707124 scopus 로고    scopus 로고
    • Blind separation of gaussian sources via second-order statistics with asymptotically optimal weighting
    • A. Yeredor. Blind separation of gaussian sources via second-order statistics with asymptotically optimal weighting. IEEE Signal Processing Letters, 7(7):197-200, 2000.
    • (2000) IEEE Signal Processing Letters , vol.7 , Issue.7 , pp. 197-200
    • Yeredor, A.1
  • 54
    • 0033982156 scopus 로고    scopus 로고
    • Artifact reduction in magnetoneurography based on time-delayed second-order correlations
    • A. Ziehe, K.-R. Müller, G. Nolte, B.-M. Mackert, and G. Curio. Artifact reduction in magnetoneurography based on time-delayed second-order correlations. IEEE Trans. Biomed. Eng., 47(1): 75-87, 2000.
    • (2000) IEEE Trans. Biomed. Eng. , vol.47 , Issue.1 , pp. 75-87
    • Ziehe, A.1    Müller, K.-R.2    Nolte, G.3    Mackert, B.-M.4    Curio, G.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.