Number of sources uncertainty in blind source separation: application to EMG signal processing
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.Citation
Snoussi H, Khanna S, Hewson D, Duchene J (2007) 'Number of sources uncertainty in blind source separation: application to EMG signal processing', 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Lyon, IEEE.Publisher
IEEEPubMed ID
18003518Additional Links
https://ieeexplore.ieee.org/document/4353852Type
Conference papers, meetings and proceedingsLanguage
enISSN
1094-687Xae974a485f413a2113503eed53cd6c53
10.1109/IEMBS.2007.4353852
Scopus Count
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