A blind source separation algorithm using particle swarm optimization

被引：0
|
作者：
Gao, Y [1 ]
Xie, SL [1 ]
机构：
[1] S China Univ Technol, Dept Elect & Commun Engn, Guangzhou, Peoples R China
来源：
PROCEEDINGS OF THE IEEE 6TH CIRCUITS AND SYSTEMS SYMPOSIUM ON EMERGING TECHNOLOGIES: FRONTIERS OF MOBILE AND WIRELESS COMMUNICATION, VOLS 1 AND 2 | 2004年
关键词：
blind source separation; correlation coefficient; particle swarm optimization;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：297 / 300
页数：4
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