Independent signal separation using genetic algorithm

被引:0
作者
Yoshioka, M [1 ]
Omatu, S [1 ]
机构
[1] Osaka Prefecture Univ, Sakai, Osaka 591, Japan
关键词
independent signal separation; genetic algorithm; dependence measure; Kullback-Leibler divergence;
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
Growing multimedia systems require more efficient signal separation methods to preserve quality of voice or music recording in a noisy environment. Some signal separation methods are based on minimizing the dependence measure among input signals to separate the noise component since the noise component is usually independent of the other signals. Under such circumstances, we have developed a new method to separate independent signal components which directly minimizes the Kullback-Leibler divergence by a genetic algorithm. In this paper, we have improved the method in its separation performance and processing speed. The simulation results show that The proposed method is effective in separating the independent signals. (C) 2000 Scripta Technica.
引用
收藏
页码:52 / 57
页数:6
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