Number of sources uncertainty in blind source separation. Application to EMG signal processing.
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.
Snoussi
Hichem
H
ICD/LM2S, University of Technology of Troyes, 12, rue Marie Curie, 10000, France. hichem.snoussi@utt.fr
Khanna
Saurabh
S
Hewson
David
D
Duchene
Jacques
J
D000465:Algorithms; D001499:Bayes Theorem; D004576:Electromyography; D012815:Signal Processing, Computer-Assisted; D035501:Uncertainty