Title :
A blind source separation algorithm using particle swarm optimization
Author :
Ying Gao ; Xie, Shengli
Author_Institution :
Dept. of Electron. & Commun. Eng., South China Univ. of Technol., Guangzhou, China
fDate :
31 May-2 June 2004
Abstract :
In this paper, a cost function of independence of signals based on second order correlation coefficient and high order correlation coefficient is proposed, and an algorithm for linear blind source separation is presented by applying adaptive particle swarm optimization to the cost function. The proposed algorithm for linear blind source separation is characterized with high accuracy, robustness, and convergence rate. Simulation results show that the proposed approach has very good performance.
Keywords :
blind source separation; correlation methods; optimisation; high order correlation coefficient; linear blind source separation; particle swarm optimization; second order correlation coefficient; signals independence cost function; Blind source separation; Computer science; Convergence; Cost function; Electrons; Entropy; Particle swarm optimization; Robustness; Source separation; Vectors;
Conference_Titel :
Emerging Technologies: Frontiers of Mobile and Wireless Communication, 2004. Proceedings of the IEEE 6th Circuits and Systems Symposium on
Print_ISBN :
0-7803-7938-1
DOI :
10.1109/CASSET.2004.1322981
