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.

Cite this paper

@article{Snoussi2007NumberOS, title={Number of sources uncertainty in blind source separation. Application to EMG signal processing.}, author={Hichem Snoussi and Saurabh Khanna and David J. Hewson and Jacques Duch{\^e}ne}, journal={Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference}, year={2007}, volume={2007}, pages={6516-9} }