Beyond comon's identifiability theorem for Independent Component Analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2415 LNCS, Issue , 2002, Pages 1119-1124

  Boscolo, Riccardo ^a   Pan, Hong ^b   Roychowdhury, Vwani P ^a  

^a Department of Civil and Environmental Engineering   (United States)

^b WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); INDEPENDENT COMPONENT ANALYSIS; MIXTURES; NEURAL NETWORKS;

CONSTRUCTIVE PROOF; GAUSSIAN SIGNALS; GAUSSIAN SOURCES; INDEPENDENT COMPONENT ANALYSIS(ICA); MUTUAL INFORMATIONS; NON-GAUSSIAN SOURCES; NONGAUSSIAN SIGNALS; OPTIMIZATION FRAMEWORK;

SOURCE SEPARATION;

EID: 31344465605     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46084-5_181     Document Type: Conference Paper

References (8)

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