Genetic channel-optimized vector quantizer design for burst error channels

Wen-Jyi Hwang, Chien Min Ou, Chin Ming Yeh

研究成果: 雜誌貢獻文章

2 引文 (Scopus)

摘要

This paper presents a novel vector quantizer (VQ) design algorithm optimized to a burst error channel (BEC) for robust communication. The Gilbert-Elliot model is used to describe the BEC. Based on the model, the objective of this algorithm is to minimize the average distortion when the BEC is in the normal state of operation, while maintaining a minimum fidelity when the BEC is in the undesirable state. In the algorithm, an iterative design procedure is first derived for obtaining a local optimal solution to the problem. A novel genetic scheme is then proposed for attaining a near global optimal performance. Numerical results show that, when delivering information over the BEC, the algorithm significantly outperforms the VQ techniques optimizing the design only to the simple binary symmetric channels.

原文英語
頁(從 - 到)345-357
頁數13
期刊Neurocomputing
63
發行號SPEC. ISS.
DOIs
出版狀態已發佈 - 2005 一月 1

指紋

Communication

ASJC Scopus subject areas

  • Artificial Intelligence
  • Cellular and Molecular Neuroscience

引用此文

Genetic channel-optimized vector quantizer design for burst error channels. / Hwang, Wen-Jyi; Ou, Chien Min; Yeh, Chin Ming.

於: Neurocomputing, 卷 63, 編號 SPEC. ISS., 01.01.2005, p. 345-357.

研究成果: 雜誌貢獻文章

Hwang, Wen-Jyi ; Ou, Chien Min ; Yeh, Chin Ming. / Genetic channel-optimized vector quantizer design for burst error channels. 於: Neurocomputing. 2005 ; 卷 63, 編號 SPEC. ISS. 頁 345-357.
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