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Computación y Sistemas

Print version ISSN 1405-5546

Comp. y Sist. vol.18 n.4 México Oct./Dec. 2014

http://dx.doi.org/10.13053/CyS-18-4-1951 

Artículos regulares

 

A Heuristic Approach for Blind Source Separation of Instant Mixtures

 

Jesús Rigoberto Villavicencio Navarro, Luis Márquez Martínez, and Joaquín Álvarez Gallegos

 

CICESE Research Center, Electronics and Telecommunications Department, Ensenada, B.C., Mexico. jvillavi@cicese.mx, lmarquez@cicese.mx, jqalvar@cicese.mx

 

Article received on 13/03/2014.
Accepted on 08/05/2014.

 

Abstract

In this paper we present a methodology for blind source separation (BSS) based on a coherence function to solve the problem of linear instantaneous mixtures of signals. The proposed methodology consists of minimizing the coherence function using a heuristic algorithm based on the simulating annealing method. Also, we derived an analytical expression of the coherence for the BSS model, in which it is found that independent and identically distributed (iid) Gaussian components can be recovered. Our results show satisfactory performance in comparison with traditional methods.

Keywords: Blind source separation, second-order statistics, source extraction, Gaussian sources, simulated annealing.

 

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