A new optimization method for reference-based quadratic contrast functions in a deflation scenario - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2009

A new optimization method for reference-based quadratic contrast functions in a deflation scenario

Résumé

This paper deals with the problem of blind source separation of convolutive MIMO mixtures by a deflation procedure. Contrast functions showing a quadratic dependence with respect to the searched parameters have recently been proposed. Combined with a fast SVD-based optimization technique, they proved to be very efficient for the extraction of one source signal. In this contribution, we examine how these contrast functions behave in a deflation scenario. We show that the SVD-based optimization method requires a good knowledge of the filter orders due to its sensitivity on a rank estimation. To overcome the difficulty, we propose an optimal step size gradient algorithm
Fichier principal
Vignette du fichier
icassp09.pdf (247.42 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00442763 , version 1 (22-12-2009)

Identifiants

Citer

Marc Castella, Eric Moreau. A new optimization method for reference-based quadratic contrast functions in a deflation scenario. ICASSP 2009 : IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2009, Taipei, Taiwan. pp.3161 - 3164, ⟨10.1109/ICASSP.2009.4960295⟩. ⟨hal-00442763⟩
107 Consultations
122 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More