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Volumn , Issue , 2006, Pages

Performance indices of BSS for real-world applications

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTIVE MIXTURE; INDEPENDENCE MEASURE; PERFORMANCE INDICES; REAL-WORLD APPLICATION;

EID: 84862632872     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (17)
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  • 3
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    • An informationmaximization approach to blind separation and blind deconvolution
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    • Adaptive on-line learning algorithms for blind separation - Maximum entropy and minimum mutual information
    • H. H. Yang and S. I. Amari, "Adaptive on-line learning algorithms for blind separation - maximum entropy and minimum mutual information", Neural Computation, vol. 9, pp. 1457-1482, 1997.
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    • Yang, H.H.1    Amari, S.I.2
  • 5
    • 0035112152 scopus 로고    scopus 로고
    • Nonlinear blind source separation using a radial basis function network
    • January
    • Y. Tan, J. Wang and J. M. Zurada, "Nonlinear blind source separation using a radial basis function network", IEEE Trans. on Neural Networks, vol. 12, n. 1, pp. 124-134, January 2001.
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  • 7
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    • Fast algorithm for estimating mutual information, entropies and score functions
    • Nara, Japan, 1-4 April
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    • Pham, D.-T.1
  • 8
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    • Quadratic dependence measure for nonlinear blind sources separation
    • Nara, Japan, 1-4 April
    • S. Achard, D.-T. Pham and C. Jutten, "Quadratic dependence measure for nonlinear blind sources separation", in Int. Workshop ICA2003, pp. 263-268, Nara, Japan, 1-4 April 2003.
    • (2003) Int. Workshop ICA2003 , pp. 263-268
    • Achard, S.1    Pham, D.-T.2    Jutten, C.3
  • 9
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    • A quadratic measure of deviation of two-dimensional density estimates and a test of independence
    • M. Rosenblatt, "A quadratic measure of deviation of two-dimensional density estimates and a test of independence", Annals of Statistics, vol. 3, n. 1, pp. 1-14, 1975.
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  • 14
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    • The empirical characteristic function and its applications
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    • Properties of the empirical characteristic function and its application to testing for independence
    • San Diego, U.S.A, December
    • N. Murata, "Properties of the empirical characteristic function and its application to testing for independence", in Int.Workshop ICA2001, pp. 295-300, San Diego, U.S.A, December 2001.
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  • 17
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.