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Study of Differential Evolutionary Algorithm in Blind Source Separation

by Monorama Swain, Rutuparna Panda, Sneha Tibrewal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 30 - Number 7
Year of Publication: 2011
Authors: Monorama Swain, Rutuparna Panda, Sneha Tibrewal
10.5120/3650-5102

Monorama Swain, Rutuparna Panda, Sneha Tibrewal . Study of Differential Evolutionary Algorithm in Blind Source Separation. International Journal of Computer Applications. 30, 7 ( September 2011), 48-55. DOI=10.5120/3650-5102

@article{ 10.5120/3650-5102,
author = { Monorama Swain, Rutuparna Panda, Sneha Tibrewal },
title = { Study of Differential Evolutionary Algorithm in Blind Source Separation },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 30 },
number = { 7 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 48-55 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume30/number7/3650-5102/ },
doi = { 10.5120/3650-5102 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:16:26.588071+05:30
%A Monorama Swain
%A Rutuparna Panda
%A Sneha Tibrewal
%T Study of Differential Evolutionary Algorithm in Blind Source Separation
%J International Journal of Computer Applications
%@ 0975-8887
%V 30
%N 7
%P 48-55
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Blind source separation is a well known problem that arises in a large number of signal processing applications. In this paper we proposed a novel Evolutionary algorithm for Blind source separation of Instantaneous mixtures for optimization of continuous time domain signals. Among various evolutionary optimization principles, a population-based real-parameter optimization technique based on differences among population members is getting popular in various real-life optimization problems. This paper addresses this so-called Differential Evolution strategy and shows some sample cases where it can be utilized to separate a number of source signals using a particular channel.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Blind source separation Instantaneous mixture Differential evolution

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