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
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;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1341987
