Postnonlinear overcomplete blind source separation using sparse sources

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

Volumn 3195, Issue , 2004, Pages 718-725

  Theis, Fabian J ^a,b   Amari, Shun Ichi ^a  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^b UNIVERSITY OF REGENSBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS;

IDENTIFIABILITY; INDEPENDENT COMPONENT ANALYSIS(ICA); LINEARIZED MODELS; POST-NONLINEAR; POSTNONLINEAR MODEL; RANDOM VECTORS; SPARSE COMPONENT ANALYSIS; SPARSE SOURCES;

BLIND SOURCE SEPARATION;

EID: 30844457615     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_91     Document Type: Article

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