Joint anti-diagonalization for blind source separation.

We address the problem of blind source separation of non-stationary signals of which only instantaneous linear mixtures are observed. A blind source separation approach exploiting both auto-tenns and cross-terms of the time-frequency (TF) distributions of the sources is considered. The approach is based on the simultaneous diagonalization and anti-diagonalization of spatial TF distribution matrices made up of, respectively, auto-terms and cross-tenns. Numerical simulations are provided to demonstrate the effectiveness of the proposed approach and compare its performances with existing TFbased methods.

Main Author: Belouchrani, A.
Other Authors: Abed-Meraim, K., Amin, M. G., Zoubir, A. M.
Language: English
Published: 2001
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173387