DocumentCode
1560917
Title
A new algorithm of evolutional blind source separation based on genetic algorithm
Author
Li, Musen ; Mao, Jianqin
Author_Institution
Seventh Res. Div., Beijing Univ. of Aeronaut. & Astronaut., China
Volume
3
fYear
2004
Firstpage
2240
Abstract
A new algorithm of blind source separation based on genetic algorithm has been proposed in this paper. It is used with the iteration core of fixed-point algorithm to find the best separation matrix. It enhances the speed of algorithm and depends less on the selecting of training samples. At the same time, this algorithm has virtues of global convergence and high precision.
Keywords
blind source separation; convergence of numerical methods; genetic algorithms; independent component analysis; iterative methods; convergence; evolutional blind source separation; fixed point algorithm; genetic algorithm; global convergence; independent component analysis; iteration methods; separation matrix; training samples; Blind source separation; Convergence; Genetic algorithms; Independent component analysis; Source separation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN
0-7803-8273-0
Type
conf
DOI
10.1109/WCICA.2004.1341987
Filename
1341987
Link To Document