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A Survey of Signal Separation Algorithms

by Otman Chakkor, Carlos Garcia Puntonet, Mohammed Essaadi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 54 - Number 8
Year of Publication: 2012
Authors: Otman Chakkor, Carlos Garcia Puntonet, Mohammed Essaadi
10.5120/8585-2336

Otman Chakkor, Carlos Garcia Puntonet, Mohammed Essaadi . A Survey of Signal Separation Algorithms. International Journal of Computer Applications. 54, 8 ( September 2012), 12-15. DOI=10.5120/8585-2336

@article{ 10.5120/8585-2336,
author = { Otman Chakkor, Carlos Garcia Puntonet, Mohammed Essaadi },
title = { A Survey of Signal Separation Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 54 },
number = { 8 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 12-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume54/number8/8585-2336/ },
doi = { 10.5120/8585-2336 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:55:09.313064+05:30
%A Otman Chakkor
%A Carlos Garcia Puntonet
%A Mohammed Essaadi
%T A Survey of Signal Separation Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 54
%N 8
%P 12-15
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Blind separation of sources refers to the problem of recovering source signals from their mixtures using only the observed mixtures. The BSS algorithms have developed intensively for linear, nonlinear and convolutive mixtures, the purpose of this paper is to present a description of those algorithms for each situation.

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Index Terms

Computer Science
Information Sciences

Keywords

Blind signal separation independent component analysis maximum likelihood information theory