International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 30 - Issue 7 |
Published: September 2011 |
Authors: Monorama Swain, Rutuparna Panda, Sneha Tibrewal |
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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 }, year = { 2011 }, volume = { 30 }, number = { 7 }, pages = { 48-55 }, doi = { 10.5120/3650-5102 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2011 %A Monorama Swain %A Rutuparna Panda %A Sneha Tibrewal %T Study of Differential Evolutionary Algorithm in Blind Source Separation%T %J International Journal of Computer Applications %V 30 %N 7 %P 48-55 %R 10.5120/3650-5102 %I Foundation of Computer Science (FCS), NY, USA
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.