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Number of sources uncertainty in blind source separation: application to EMG signal processing

  • David Hewson
    ,
  • Hichem Snoussi
    ,
  • Saurabh Khanna
    ,
  • Jacques Duchêne
  • Université de technologie de Troyes
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

This contribution deals with the number of components uncertainty in blind source separation. The number of components is estimated by maximizing its marginal a posteriori probability which favors the simplest explanation of the observed data. Marginalizing (integrating over all the parameters) is implemented through the Laplace approximation based on an efficient wavelet spectral matching separating algorithm. The effectiveness of the proposed method is shown on EMG data processing.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 22/10/2007

Publication status

Published - 22/10/2007

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

External Publication IDs

  • handle.net: 10547/623471
  • Scopus: 57649181708

Host publication title

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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