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Volumn 10, Issue 1, 1999, Pages 1-5

Fixed-point algorithm and maximum likelihood estimation for independent component analysis

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; FUNCTIONS; MAXIMUM LIKELIHOOD ESTIMATION; STATISTICAL METHODS;

EID: 0141978306     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1018647011077     Document Type: Article
Times cited : (181)

References (13)
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  • 2
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    • Entropic contrasts for source separation
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    • Cardoso, J. F.: Entropic contrasts for source separation, In: S. Haykin (ed.), Adaptive Unsupervised Learning, 1998.
    • (1998) Adaptive Unsupervised Learning
    • Cardoso, J.F.1
  • 4
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    • Robust neural networks with on-line learning for blind identification and blind separation of sources
    • Cichocki, A. and Unbehauen, R.: Robust neural networks with on-line learning for blind identification and blind separation of sources, IEEE Trans. on Circuits and Systems 43(11) (1996), 894-906.
    • (1996) IEEE Trans. on Circuits and Systems , vol.43 , Issue.11 , pp. 894-906
    • Cichocki, A.1    Unbehauen, R.2
  • 5
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    • Independent component analysis - A new concept?
    • Comon, P.: Independent component analysis - a new concept? Signal Processing 36 (1994), 287-314.
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    • Comon, P.1
  • 6
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    • Huber, P.J.1
  • 8
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    • Fast and robust fixed-point algorithms for independent component analysis
    • in press
    • Hyvärinen, A.: Fast and robust fixed-point algorithms for independent component analysis, IEEE Trans. on Neural Networks, in press.
    • IEEE Trans. on Neural Networks
    • Hyvärinen, A.1
  • 9
    • 0346307721 scopus 로고    scopus 로고
    • A fast fixed-point algorithm for independent component analysis
    • Hyvärinen, A. and Oja, E.: A fast fixed-point algorithm for independent component analysis, Neural Computation 9(7) (1997), 1483-1492.
    • (1997) Neural Computation , vol.9 , Issue.7 , pp. 1483-1492
    • Hyvärinen, A.1    Oja, E.2
  • 10
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    • Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture
    • Jutten, C. and Herault, J.: Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture, Signal Processing 24 (1991), 1-10.
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  • 11
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    • Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources
    • Lee, T.-W., Girolami, M. and Sejnowski, T. J.: Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources, Neural Computation 11 (1999), 609-633.
    • (1999) Neural Computation , vol.11 , pp. 609-633
    • Lee, T.-W.1    Girolami, M.2    Sejnowski, T.J.3
  • 13
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    • Non-linear neurons in the low noise limit: A factorial code maximizes information transfer
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.