ICAR: A tool for blind source separation using fourth-order statistics only

IEEE Transactions on Signal Processing

Volumn 53, Issue 10 I, 2005, Pages 3633-3643

  Albera, Laurent ^a   Ferréol, Anne ^b   Chevalier, Pascal ^b   Comon, Pierre ^c  

^a UNIVERSITÉ DE RENNES 1   (France)

^b THALES COMMUNICATIONS   (France)

^c UNIVERSITY OF NICE SOPHIA ANTIPOLIS   (France)

Author keywords

Blind source separation; Fourth order statistics; Independent component analysis; Overdetermined mixtures

Indexed keywords

ALGORITHMS; ARRAYS; COMPUTER SIMULATION; GAUSSIAN NOISE (ELECTRONIC); INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL MODELS; MATRIX ALGEBRA; SENSORS; SIGNAL TO NOISE RATIO; STATISTICAL METHODS; WHITE NOISE;

FOURTH-ORDER STATISTICS; INDEPENDENT COMPONENT ANALYSIS USING REDUNDANCIES (ICAR); OVERDETERMINED MIXTURES;

BLIND SOURCE SEPARATION;

EID: 27844585354     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2005.855089     Document Type: Article

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