메뉴 건너뛰기




Volumn 55, Issue 7 II, 2007, Pages 3645-3658

Blind separation of independent sources using Gaussian mixture model

Author keywords

Blind source separation (BSS); Expectation maximization (EM); Gaussian mixture model (GMM); Joint diagonalization; Maximum likelihood (ML)

Indexed keywords

ALGORITHMS; COVARIANCE MATRIX; GAUSSIAN DISTRIBUTION; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; SIGNAL INTERFERENCE; SIGNAL TO NOISE RATIO;

EID: 34347393688     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2007.894234     Document Type: Article
Times cited : (25)

References (23)
  • 1
    • 0032187518 scopus 로고    scopus 로고
    • Blind signal separation: Statistical principles
    • Oct
    • J. F. Cardoso, "Blind signal separation: Statistical principles," Proc. IEEE, vol. 86, no. 10, pp. 2009-2025, Oct. 1998.
    • (1998) Proc. IEEE , vol.86 , Issue.10 , pp. 2009-2025
    • Cardoso, J.F.1
  • 2
    • 0035448026 scopus 로고    scopus 로고
    • Blind separation of instantaneous mixtures of nonstationary sources
    • Sep
    • D. T. Pham and J. F. Cardoso, "Blind separation of instantaneous mixtures of nonstationary sources," IEEE Trans. Signal Process., vol. 49, no. 9, pp. 1837-1848, Sep. 2001.
    • (2001) IEEE Trans. Signal Process , vol.49 , Issue.9 , pp. 1837-1848
    • Pham, D.T.1    Cardoso, J.F.2
  • 3
    • 0032612381 scopus 로고    scopus 로고
    • High-order contrasts for independent component analysis
    • J. F. Cardoso, "High-order contrasts for independent component analysis," Neural Comput., vol. 11, pp. 157-192, 1999.
    • (1999) Neural Comput , vol.11 , pp. 157-192
    • Cardoso, J.F.1
  • 4
    • 0030676410 scopus 로고    scopus 로고
    • Maximum likelihood for blind separation and de-convolution of noisy signals using mixture models
    • E. Moulines, J. F. Cardoso, and E. Gassiat, "Maximum likelihood for blind separation and de-convolution of noisy signals using mixture models," in Proc. ICASSP, 1997, vol. 5, pp. 3617-3620.
    • (1997) Proc. ICASSP , vol.5 , pp. 3617-3620
    • Moulines, E.1    Cardoso, J.F.2    Gassiat, E.3
  • 5
    • 0033561886 scopus 로고    scopus 로고
    • Independent factor analysis
    • H. Attias, "Independent factor analysis," Neural Comput., vol. 11, pp. 803-851, 1999.
    • (1999) Neural Comput , vol.11 , pp. 803-851
    • Attias, H.1
  • 6
    • 84898983831 scopus 로고    scopus 로고
    • Independent factor analysis with temporally structured sources
    • Cambridge, MA: MIT Press
    • H. Attias, "Independent factor analysis with temporally structured sources," in Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, 2000, vol. 12.
    • (2000) Advances in Neural Information Processing Systems , vol.12
    • Attias, H.1
  • 7
    • 0035292754 scopus 로고    scopus 로고
    • A constraint EM algorithm for independent component analysis
    • M. Welling and M. Weber, "A constraint EM algorithm for independent component analysis," Neural Comput., vol. 13, no. 3, pp. 677-689, 2001.
    • (2001) Neural Comput , vol.13 , Issue.3 , pp. 677-689
    • Welling, M.1    Weber, M.2
  • 8
    • 1542476948 scopus 로고    scopus 로고
    • Simple mixture model for sparse over-complete ICA
    • Feb
    • M. Davis and N. Mitianoudis, "Simple mixture model for sparse over-complete ICA," IEE Proc. Vis. Image Signal Process., vol. 151, no. 1, pp. 35-43, Feb. 2004.
    • (2004) IEE Proc. Vis. Image Signal Process , vol.151 , Issue.1 , pp. 35-43
    • Davis, M.1    Mitianoudis, N.2
  • 9
    • 0034290916 scopus 로고    scopus 로고
    • ICA mixture models for unsupervised classification of non-Gaussian classes and automatic context switching in blind signal separation
    • Oct
    • T. W. Lee, M. S. Lewicki, and T. J. Sejnowsi, "ICA mixture models for unsupervised classification of non-Gaussian classes and automatic context switching in blind signal separation," IEEE Trans. Pattern Anal. Machine Lear., vol. 22, no. 10, pp. 1078-1089, Oct. 2000.
    • (2000) IEEE Trans. Pattern Anal. Machine Lear , vol.22 , Issue.10 , pp. 1078-1089
    • Lee, T.W.1    Lewicki, M.S.2    Sejnowsi, T.J.3
  • 10
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Roy. Statist. Soc., vol. 39B, pp. 1-38, 1977.
    • (1977) J. Roy. Statist. Soc , vol.39 B , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 11
    • 0003857778 scopus 로고    scopus 로고
    • A gentle tutorial on the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models University of Berkely, Tech
    • Rep. ICSI-TR-97-021, Online, Available
    • J. Bilmes, A gentle tutorial on the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models University of Berkely, Tech. Rep. ICSI-TR-97-021, 1997 [Online]. Available: http://www.citeseer.nj.nec.com/bilmes98gentle.html
    • (1997)
    • Bilmes, J.1
  • 12
    • 0037317897 scopus 로고    scopus 로고
    • Efficient greedy learning for Gaussian mixture models
    • J. J. Verbeek, N. Vlassis, and B. Kröse, "Efficient greedy learning for Gaussian mixture models," Neural Comput., vol. 15, pp. 469-485, 2003.
    • (2003) Neural Comput , vol.15 , pp. 469-485
    • Verbeek, J.J.1    Vlassis, N.2    Kröse, B.3
  • 13
    • 0001437379 scopus 로고
    • An algorithm for orthogonal transformation of several positive definite symmetric matrices to nearly diagonal form
    • B. N. Flury and W. G. Gautschi, "An algorithm for orthogonal transformation of several positive definite symmetric matrices to nearly diagonal form," SIAM J. Sci. Statist. Comp., vol. 7, no. 1, pp. 169-184, 1984.
    • (1984) SIAM J. Sci. Statist. Comp , vol.7 , Issue.1 , pp. 169-184
    • Flury, B.N.1    Gautschi, W.G.2
  • 15
    • 0003355631 scopus 로고
    • Differential-geometrical methods in statistics
    • New York: Springer-Verlag
    • S. I. Amari, "Differential-geometrical methods in statistics," in Lecture Notes in Statistics. New York: Springer-Verlag, 1985, vol. 28.
    • (1985) Lecture Notes in Statistics , vol.28
    • Amari, S.I.1
  • 16
    • 0346307721 scopus 로고    scopus 로고
    • A fast-fixed-point algorithm for independent component analysis
    • A. Hyvarnien and E. Oja, "A fast-fixed-point algorithm for independent component analysis," Neural Comput., vol. 9, pp. 1483-1492, 1997.
    • (1997) Neural Comput , vol.9 , pp. 1483-1492
    • Hyvarnien, A.1    Oja, E.2
  • 17
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • G. Schwarz, "Estimating the dimension of a model," Ann. Statist. vol. 6, pp. 461-464, 1978.
    • (1978) Ann. Statist , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 18
    • 0032183995 scopus 로고    scopus 로고
    • The minimum description length principle in coding and modeling
    • Oct
    • A. Barron, J. Rissanen, and B. Yu, "The minimum description length principle in coding and modeling," IEEE Trans. Inf. Theory, vol. 44, no. 6, pp. 2743-2760, Oct. 1998.
    • (1998) IEEE Trans. Inf. Theory , vol.44 , Issue.6 , pp. 2743-2760
    • Barron, A.1    Rissanen, J.2    Yu, B.3
  • 19
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • H. Akaike, "A new look at the statistical model identification," IEEE Trans. Autom. Control, vol. AC-19, pp. 716-723, 1974.
    • (1974) IEEE Trans. Autom. Control , vol.AC-19 , pp. 716-723
    • Akaike, H.1
  • 20
    • 0001927585 scopus 로고
    • On information and sufficiency
    • S. Kullback and R. A. Leibler, "On information and sufficiency," Ann. Math. Statist., vol. 22, pp. 79-86, 1951.
    • (1951) Ann. Math. Statist , vol.22 , pp. 79-86
    • Kullback, S.1    Leibler, R.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.