By Topic

Stability analysis and optimization of time-domain convolutive source separation algorithms

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
N. Charkani ; Lab. d'Electron. Philips, Limeil-Brevannes, France ; Y. Deville ; J. Herault

In this paper, we investigate the self-adaptive source separation problem for convolutively mixed signals. The proposed approach uses a recurrent structure adapted by a generic rule involving arbitrary separating functions. We first analyze the stability of this generic algorithm and we apply these results to some classical rules that were proposed in the literature but only partly analyzed. We then derive the expression of the asymptotic error variance achieved by this rule (for strictly causal mixtures). This enables us to determine the optimum separating functions that minimize this error variance. They are shown to be only related to the probability density functions of the sources. The performance improvement achieved by this approach is illustrated by simulations performed with real mixtures of speech signals.

Published in:

Signal Processing Advances in Wireless Communications, First IEEE Signal Processing Workshop on

Date of Conference:

16-18 April 1997