Robustesse des hypothèses dans une méthode sous-espace pour la séparation de sources
Résumé
The subspace based methods for source separation assume the filters orders are perfectly known. In this paper, it is experimentally proved that the separation is achived, even if the filter order is underestimated, so long as the order is sufficient to functionally model the actual filters of the mixture.