DocumentCode
2207109
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
fYear
2009
fDate
1-4 Sept. 2009
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/MLSP.2009.5306215
Filename
5306215
Link To Document