Blind source separation in time frequency domain using contrast functions

Abstract

This thesis presents the implementation of new blind source separation techniques exploiting the time-frequency signatures of the source signals. The proposed approach relies on time-frequency distributions (TFD). Two TFDbased contrast functions are presented for non-stationary sources. Iterative algorithms using the relative gradient technique are used to optimize the proposed functions and perform source separaration