A Heuristic Approach for Blind Source Separation of Instant Mixtures

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1. Verfasser: Jesús Rigoberto Villavicencio Navarro
Format: Artículo científico
Sprache:en
Veröffentlicht: Instituto Politécnico Nacional 2014
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author Jesús Rigoberto Villavicencio Navarro
author_facet Jesús Rigoberto Villavicencio Navarro
contents A Heuristic Approach for Blind Source Separation of Instant Mixtures Jesús Rigoberto Villavicencio Navarro Luis Márquez Martínez Joaquín Álvarez Gallegos Computación second order statistics Gaussian sources source extraction simulated annealing 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. 2014 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61532985007 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.18
format Artículo científico
id redalyc_61532985007
institution Redalyc
language en
publishDate 2014
publisher Instituto Politécnico Nacional
spellingShingle A Heuristic Approach for Blind Source Separation of Instant Mixtures
Jesús Rigoberto Villavicencio Navarro
Computación
second
order statistics
Gaussian sources
source extraction
simulated annealing
A Heuristic Approach for Blind Source Separation of Instant Mixtures Jesús Rigoberto Villavicencio Navarro Luis Márquez Martínez Joaquín Álvarez Gallegos Computación second order statistics Gaussian sources source extraction simulated annealing 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. 2014 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61532985007 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.18
title A Heuristic Approach for Blind Source Separation of Instant Mixtures
topic Computación
second
order statistics
Gaussian sources
source extraction
simulated annealing
url https://www.redalyc.org/articulo.oa?id=61532985007