Contrast functions for blind source separation based on time frequency distributions

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