Subspace adaptive algorithm for blind separation of convolutive mixtures by conjugate gradient method - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 1998

Subspace adaptive algorithm for blind separation of convolutive mixtures by conjugate gradient method

Résumé

In this paper, a new subspace adaptive algorithm, for blind separation of convolutive mixture, is proposed. This algorithm can be decomposed into two steps: At first, the convolutive mixture will be reduced to an instantaneous mixture (memoryless mixture), using a second-order statistics criterion based on subspace approach. The second step consists on the separation of the residual instantaneous mixture. The minimization of the criterion is achieved using a conjugate gradient method. The experimental results show that the convergence of our algorithm is improved thanks to the use of the conjugate gradient method. Finally, experimental results are shown.
Fichier non déposé

Dates et versions

hal-00802622 , version 1 (20-03-2013)

Identifiants

  • HAL Id : hal-00802622 , version 1

Citer

Ali Mansour, Barros Alan Kardec, Ohnishi Noboru. Subspace adaptive algorithm for blind separation of convolutive mixtures by conjugate gradient method. International Conference and Exhibition Digital Signal Processing (DSP'98), Jun 1998, Moscow, Russia. ⟨hal-00802622⟩
75 Consultations
0 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More