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Volumn 3889 LNCS, Issue , 2006, Pages 625-632

Complex fastIVA: A robust maximum likelihood approach of MICA for convolutive BSS

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTICS; ALGORITHMS; BLIND SOURCE SEPARATION; FREQUENCY DOMAIN ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; NATURAL FREQUENCIES; PROBLEM SOLVING;

EID: 33745697458     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11679363_78     Document Type: Conference Paper
Times cited : (14)

References (9)
  • 2
    • 0035659640 scopus 로고    scopus 로고
    • An approach to blind source separation based on temporal structure of speech signals
    • Murata, N., Ikeda, S., Ziehe, A.: An approach to blind source separation based on temporal structure of speech signals. Neurocomputing 41 (2001) 1-24
    • (2001) Neurocomputing , vol.41 , pp. 1-24
    • Murata, N.1    Ikeda, S.2    Ziehe, A.3
  • 7
    • 0034136037 scopus 로고    scopus 로고
    • A fast fixed-point algorithm for independent componenet analysis of complex-valued signals
    • Bingham, E., Hyvärinen, A.: A fast fixed-point algorithm for independent componenet analysis of complex-valued signals. Int. J. of neural systems 10(1) (2000) 1-8
    • (2000) Int. J. of Neural Systems , vol.10 , Issue.1 , pp. 1-8
    • Bingham, E.1    Hyvärinen, A.2
  • 9
    • 0034222304 scopus 로고    scopus 로고
    • Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces
    • Hyvärinen, A., Hoyer, P.O.: Emergence of phase and shift invariant features by decomposition of natural images into independent feature subspaces. Neural Computation 12(7) (2000) 1705-1720
    • (2000) Neural Computation , vol.12 , Issue.7 , pp. 1705-1720
    • Hyvärinen, A.1    Hoyer, P.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.