Design of robust communication systems using genetic algorithms

Chien Min Ou, Wen Jyi Hwang*, Hung Chuan Yung

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

This paper presents a novel genetic algorithm for jointly optimizing source and channel codes. The algorithm uses a channel-optimized vector quantizer for the source code, and a rate-punctured convolutional code for the channel code. The genetic algorithm enhances the robustness of the rate-distortion performance of the channel-optimized vector quantizer, and reduces the computational time for finding the best rate-punctured convolutional code. Numerical results show that the algorithm attains near optimal performance while having low computational complexity.

原文英語
主出版物標題Genetic Programming - 9th European Conference, EuroGP 2006, Proceedings
頁面270-279
頁數10
DOIs
出版狀態已發佈 - 2006
事件9th European Conference on Genetic Programming, EuroGP 2006 - Budapest, 匈牙利
持續時間: 2006 4月 102006 4月 12

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3905 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

其他

其他9th European Conference on Genetic Programming, EuroGP 2006
國家/地區匈牙利
城市Budapest
期間2006/04/102006/04/12

ASJC Scopus subject areas

  • 理論電腦科學
  • 一般電腦科學

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