Design of robust communication systems using genetic algorithms

被引：0
|
作者：
Ou, Chien-Min
Hwang, Wen-Jyi [1 ]
Yung, Hung-Chuan
机构：
[1] Ching Yun Univ, Dept Elect Engn, Chungli 320, Taiwan
[2] Natl Taiwan Normal Univ, Grad Inst Comp Sci & Informat Engn, Taipei 117, Taiwan
来源：
GENETIC PROGRAMMING, PROCEEDINGS | 2006年 / 3905卷
关键词：
vector quantization; genetic algorithm; error correct coding;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码：270 / 279
页数：10
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