Blind source separation of discrete finite alphabet sources using a single mixture

Mohammad Rostami (1) , Massoud Babaie-Zadeh (1) , Samareh Samadi (2) , Christian Jutten (3)

1 EE department of SUT [Tehran] - Department of Electrical Engineering [Tehran]
2 CIPCE - Control and Intelligent Processing Center of Excellence - University of Tehran
3 GIPSA-VIBS - GIPSA - Vision and Brain Signal Processing

This paper deals with blind separation of finite alphabet sources where we have n sources and only one observation. The method is applied directly in time (spatial) domain and no transformation is needed. It follows a two stage procedure. In the first stage the mixing coefficients are estimated, and in the second stage the sources are separated using the estimated mixing coefficients. We also study restrictions of this method and conditions for which its performance is acceptable. Simulation results are presented to show the ability of this method to source separation in images and pulse amplitude modulation (PAM) signals.

Mots clés: discrete sources; underdetermined; source separation

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Mohammad Rostami, Massoud Babaie-Zadeh, Samareh Samadi, Christian Jutten. Blind source separation of discrete finite alphabet sources using a single mixture. SSP 2011 - 2011 IEEE Workshop on Statistical Signal Processing, Jun 2011, Nice, France. pp.713-716. ⟨hal-00605698⟩