Second-order blind source separation based on multi-dimensional autocovariances

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

Volumn 3195, Issue , 2004, Pages 726-733

  Theis, Fabian J ^a,b   Meyer Bäse, Anke ^b   Lang, Elmar W ^a  

^a UNIVERSITY OF REGENSBURG   (Germany)

^b FAMU FSU COLLEGE OF ENGINEERING   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; INDEPENDENT COMPONENT ANALYSIS;

AUTOCOVARIANCE MATRICES; AUTOCOVARIANCES; DE CORRELATIONS; FMRI-ANALYSIS; JOINT DIAGONALIZATION; MULTI DIMENSIONAL; SECOND ORDERS; SPATIAL DATA;

BLIND SOURCE SEPARATION;

EID: 35048821990     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_92     Document Type: Article

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