Blind separation of bilinear mixtures using mutual information minimization

Fatemeh Mokhtari (1) , Massoud Babaie-Zadeh (1) , Christian Jutten (2)

1 EE department of SUT [Tehran] - Department of Electrical Engineering [Tehran]
2 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique

In this paper an approach for blind source separation in bilinear (or linear quadratic) mixtures is presented. The proposed algorithm employs the same recurrent structure as [Hosseini and Deville, 2003] for separating these mixtures. However, instead of maximal likelihood, our algorithm is based on minimizing the mutual information of the outputs for recovering the independent components. Simulation results show the efficiency of the proposed algorithm.

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

Fatemeh Mokhtari, Massoud Babaie-Zadeh, Christian Jutten. Blind separation of bilinear mixtures using mutual information minimization. MLSP 2009 - IEEE 19th International Workshop on Machine Learning for Signal Processing, Sep 2009, Grenoble, France. 6 p. ⟨hal-00424182⟩