A contrast function for independent component analysis without permutation ambiguity

IEEE Transactions on Neural Networks

Volumn 21, Issue 5, 2010, Pages 863-868

  Zarzoso, Vicente ^a   Comon, Pierre ^a   Phlypo, Ronald ^b  

^a UNIVERSITY OF NICE SOPHIA ANTIPOLIS   (France)

^b GHENT UNIVERSITY   (Belgium)

Author keywords

Blind source separation (BSS); Contrast functions; Independent component analysis (ICA); Jacobi optimization; Kurtosis; Performance analysis

Indexed keywords

ASYMPTOTIC VARIANCE; CLOSED FORM; CONTRAST FUNCTIONS; COST-EFFICIENT; CUMULANTS; EXPERIMENTAL STUDIES; FOURTH-ORDER; KURTOSES; KURTOSIS; LINEAR COMBINATIONS; MATCHING CRITERION; MAXIMUM LIKELIHOOD PRINCIPLE; PERFORMANCE ANALYSIS; PERMUTATION AMBIGUITY; PREWHITENING;

ASYMPTOTIC ANALYSIS; BLIND SOURCE SEPARATION; HEMODYNAMICS; MAXIMUM LIKELIHOOD ESTIMATION; MULTIUSER DETECTION; OPTIMIZATION; SEPARATORS; SIGNAL ANALYSIS;

INDEPENDENT COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; HUMAN; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING;

ALGORITHMS; HUMANS; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77951938855     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2010.2045128     Document Type: Article

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