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Volumn 3889 LNCS, Issue , 2006, Pages 98-105

An EM method for spatio-temporal blind source separation using an AR-MOG source model

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; INFORMATION ANALYSIS; OPTIMIZATION; PARAMETER ESTIMATION; SEPARATION;

EID: 33745683301     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11679363_13     Document Type: Conference Paper
Times cited : (7)

References (18)
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  • 6
    • 27944489215 scopus 로고    scopus 로고
    • An analysis of entropy estimators for blind source separation
    • Hild II, K.E., Erdogmus, D., Principe, J.C.: An Analysis of Entropy Estimators for Blind Source Separation. Signal Processing 86 (2006) 182-194
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    • Hild II, K.E.1    Erdogmus, D.2    Principe, J.C.3
  • 7
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    • Maximum Likelihood for blind source separation and deconvolution of noisy signals using mixture models
    • Moulines, E., Cardoso, J.F., Gassiat, E.: Maximum Likelihood for blind source separation and deconvolution of noisy signals using mixture models. Intl. Conf. on Acoustics, Speech, and Signal Processing 5 (1997) 3617-3620
    • (1997) Intl. Conf. on Acoustics, Speech, and Signal Processing , vol.5 , pp. 3617-3620
    • Moulines, E.1    Cardoso, J.F.2    Gassiat, E.3
  • 8
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    • Blind separation of mixture of independent sources through a quasi-maximum likelihood approach
    • Pham, D.T., Garat, P.: Blind separation of mixture of independent sources through a quasi-maximum likelihood approach. IEEE Trans. on Signal Proc. 45 (1997) 1712-1725
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    • Pham, D.T.1    Garat, P.2
  • 9
    • 84898936603 scopus 로고    scopus 로고
    • Maximum likelihood blind source separation: A context-sensitive generalization of ICA
    • Pearlmutter, B.A., Parra, L.C.: Maximum likelihood blind source separation: A context-sensitive generalization of ICA. Advances in Neural Information Proc. Systems 9 (1996) 613-619
    • (1996) Advances in Neural Information Proc. Systems , vol.9 , pp. 613-619
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    • Neural learning in structured parameter spaces - Natural Riemannian gradient
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.