Bayesian approach for blind separation of underdetermined mixtures of sparse sources

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

Volumn 3195, Issue , 2004, Pages 398-405

  Févotte, Cédric ^a   Godsill, Simon J ^a   Wolfe, Patrick J ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; INDEPENDENT COMPONENT ANALYSIS; MIXTURES;

AUDIO SIGNAL; BAYESIAN APPROACHES; BLIND SEPARATION; GIBBS SAMPLING; SPARSE SOURCES; STUDENT-T DISTRIBUTION; TRANSFORMED DOMAIN; UNDER-DETERMINED MIXTURES;

BLIND SOURCE SEPARATION;

EID: 35048903602     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_51     Document Type: Article

References (9)

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9. th Symposium on Independent Component Analysis and Blind Source Separation (ICA'03), Nara, Japan (2003)