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
