The hybrid genetic algorithm for blind signal separation

研究成果: Conference contribution

8 引文 斯高帕斯(Scopus)

摘要

In this paper, a hybrid genetic algorithm for blind signal separation that extracts the individual unknown independent source signals out of given linear signal mixture is presented. The proposed method combines a genetic algorithm with local search and is called the hybrid genetic algorithm. The implemented separation method is based on evolutionary minimization of the separated signal cross-correlation. The convergence behaviour of the network is demonstrated by presenting experimental separating signal results. A computer simulation example is given to demonstrate the effectiveness of the proposed method. The hybrid genetic algorithm blind signal separation performance is better than the genetic algorithm at directly minimizing the Kullback-Leibler divergence. Eventually, it is hopeful that this optimization approach can be helpful for blind signal separation engineers as a simple, useful and reasonable alternative.

原文English
主出版物標題Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings
發行者Springer Verlag
頁面954-963
頁數10
ISBN(列印)3540464840, 9783540464846
出版狀態Published - 2006 一月 1
事件13th International Conference on Neural Information Processing, ICONIP 2006 - Hong Kong, China
持續時間: 2006 十月 32006 十月 6

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4234 LNCS - III
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other13th International Conference on Neural Information Processing, ICONIP 2006
國家China
城市Hong Kong
期間06-10-0306-10-06

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

指紋 深入研究「The hybrid genetic algorithm for blind signal separation」主題。共同形成了獨特的指紋。

  • 引用此

    Shyr, W. J. (2006). The hybrid genetic algorithm for blind signal separation. 於 Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings (頁 954-963). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 4234 LNCS - III). Springer Verlag.