A hybrid technique for blind separation of non-Gaussian and time-correlated sources using a multicomponent approach

IEEE Transactions on Neural Networks

Volumn 19, Issue 3, 2008, Pages 421-430

  Tichavsky, Petr ^a   Koldovsky, Zbyněk ^a   Yeredor, Arie ^b,c   Gomez Herrero, Germá ^d   Doron, Eran ^e  

^a INSTITUTE OF INFORMATION THEORY AND AUTOMATION   (Czech Republic)

^b TEL AVIV UNIVERSITY   (Israel)

^c Nice Systems Ltd   (Israel)

^d TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^e Amimon Ltd   (Israel)

Author keywords

Blind source separation; Independent component analysis (ICA)

Indexed keywords

ASYMPTOTIC ANALYSIS; COMPUTER SIMULATION; GAUSSIAN DISTRIBUTION; INDEPENDENT COMPONENT ANALYSIS; REGRESSION ANALYSIS;

AUTOREGRESSIVE PROCESSES; WEIGHTS-ADJUSTED SECOND-ORDER BLIND IDENTIFICATION;

BLIND SOURCE SEPARATION;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; HUMAN; SIGNAL PROCESSING; STATISTICAL MODEL; TIME;

ALGORITHMS; HUMANS; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME;

EID: 40949105613     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2007.908648     Document Type: Article

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