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A variational Bayes approach to the underdetermined blind source separation with automatic determination of the number of sources
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2012 (English)In: Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on / [ed] IEEE, IEEE , 2012, 253-256 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we propose a variational Bayes approach to the underdetermined blind source separation and show how a variational treatment can open up the possibility of determining the actual number of sources. The procedure is performed in a frequency bin-wise manner. In every frequency bin, we model the time-frequency mixture by a variational mixture of Gaussians with a circular-symmetric complex-Gaussian density function. In the Bayesian inference, we consider appropriate conjugate prior distributions for modeling the parameters of this distribution. The learning task consists of estimating the hyper-parameters characterizing the parameter distributions for the optimization of the variational posterior distribution. The proposed approach requires no prior knowledge on the number of sources in a mixture.

Place, publisher, year, edition, pages
IEEE , 2012. 253-256 p.
Series
IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
Keyword [en]
blind source separation, number of sources, variational Bayesian approach, variational mixture of Gaussians
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-75456DOI: 10.1109/ICASSP.2012.6287865ISI: 000312381400063Scopus ID: 2-s2.0-84867610385ISBN: 978-146730046-9 (print)OAI: oai:DiVA.org:kth-75456DiVA: diva2:490499
Conference
2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012; Kyoto; 25 March 2012 through 30 March 2012
Funder
ICT - The Next Generation
Note

QC 20121119

Available from: 2012-02-05 Created: 2012-02-05 Last updated: 2013-04-15Bibliographically approved

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Taghia, JalilMohammadiha, NasserLeijon, Arne
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf