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Volumn , Issue , 2004, Pages 137-141

A new approach to blind source separation with global optimal property

Author keywords

Blind Source Separation; Generalized Eigenvalue Problem; Global Optimization; Independency Metric; Independent Component Analysis

Indexed keywords

COMPUTER SIMULATION; EIGENVALUES AND EIGENFUNCTIONS; GLOBAL OPTIMIZATION; INDEPENDENT COMPONENT ANALYSIS; MATRIX ALGEBRA; PROBLEM SOLVING;

EID: 11144329523     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (16)

References (12)
  • 1
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  • 2
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  • 4
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    • Source separation without prior knowledge: The maximum likelihood solution
    • M. Gaeta and J.L. Lacoume, Source separation without prior knowledge: the maximum likelihood solution, Proceedings of EUSIPO, 1990, 621-624.
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    • Gaeta, M.1    Lacoume, J.L.2
  • 5
    • 0002049291 scopus 로고
    • Separation of a mixture of independent sources through a maximum likelihood approach
    • D.T. Pham, P. Garrat and C. Jutten, Separation of a mixture of independent sources through a maximum likelihood approach, Proceedings of EUSIPCO, 1992, 771-774.
    • (1992) Proceedings of EUSIPCO , pp. 771-774
    • Pham, D.T.1    Garrat, P.2    Jutten, C.3
  • 6
    • 0031122399 scopus 로고    scopus 로고
    • Infomax and maximum likelihood for blind source separation
    • J.F. Cardoso, Infomax and maximum likelihood for blind source separation, IEEE Signal Processing Letters, 4(4), 1997, 112-114.
    • (1997) IEEE Signal Processing Letters , vol.4 , Issue.4 , pp. 112-114
    • Cardoso, J.F.1
  • 7
    • 0031251223 scopus 로고    scopus 로고
    • Extraction of independent signal sources using a deflationary exploratory projection pursuit network with lateral inhibition
    • M. Girolami and C. Fyfe, Extraction of independent signal sources using a deflationary exploratory projection pursuit network with lateral inhibition, IEE Proceedings on Vision, Image and Signal Processing Journal, 14(5), 1997, 299-306.
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    • Girolami, M.1    Fyfe, C.2
  • 9
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    • Representation and separtaion of signals using nonlinear PCA type learning
    • J. Karhunen and J. Jourtsensalo, Representation and separtaion of signals using nonlinear PCA type learning, Neural Networks, 7, 1994, 113-127.
    • (1994) Neural Networks , vol.7 , pp. 113-127
    • Karhunen, J.1    Jourtsensalo, J.2
  • 10
    • 0343416807 scopus 로고    scopus 로고
    • The nonlinear PCA learning rule in independent component analysis
    • E. Oja, The nonlinear PCA learning rule in independent component analysis, Neurocomputing, 17, 1997, 1211-1216.
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  • 11
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    • Independent component analysis, a new concept?
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  • 12
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    • Blind source separation using temporal predictability
    • J. V. Stone, Blind source separation using temporal predictability, Neural Computation, 13(7), 2001, 1559-1574.
    • (2001) Neural Computation , vol.13 , Issue.7 , pp. 1559-1574
    • Stone, J.V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.