Title :
Blind separation of bilinear mixtures using mutual information minimization
Author :
Mokhtari, Fatemeh ; Babaie-Zadeh, Massoud ; Jutten, Christian
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Abstract :
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.
Keywords :
blind source separation; maximum likelihood estimation; minimisation; bilinear mixtures; blind source separation; linear quadratic mixtures; maximal likelihood algorithm; mutual information minimization; Blind source separation; Collaborative work; Contracts; Jacobian matrices; Maximum likelihood estimation; Mutual information; Parameter estimation; Polynomials; Source separation; Stability;
Conference_Titel :
Machine Learning for Signal Processing, 2009. MLSP 2009. IEEE International Workshop on
Conference_Location :
Grenoble
Print_ISBN :
978-1-4244-4947-7
Electronic_ISBN :
978-1-4244-4948-4
DOI :
10.1109/MLSP.2009.5306215
