A variational Bayes approach to the underdetermined blind source separation with automatic determination of the number of sources

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2012, Pages 253-256

  Taghia, Jalil ^a   Mohammadiha, Nasser ^a   Leijon, Arne ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

blind source separation; number of sources; variational Bayesian approach; variational mixture of Gaussians

Indexed keywords

AUTOMATIC DETERMINATION; BAYESIAN INFERENCE; CONJUGATE PRIOR; LEARNING TASKS; MIXTURE OF GAUSSIANS; PARAMETER DISTRIBUTIONS; POSTERIOR DISTRIBUTIONS; PRIOR KNOWLEDGE; TIME FREQUENCY; VARIATIONAL BAYES; VARIATIONAL BAYESIAN; VARIATIONAL TREATMENT;

BAYESIAN NETWORKS; BINS; INFERENCE ENGINES; SIGNAL PROCESSING;

BLIND SOURCE SEPARATION;

EID: 84867610385     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6287865     Document Type: Conference Paper

References (11)

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