Using Genetic Algorithms on Communication System

• Main Authors: Hung-Chung Yang, 楊紘權
• Other Authors: Chien-Min Ou
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/10205327803388582356

碩士 === 清雲科技大學 === 電子工程研究所 === 93 === This paper presents a novel genetic algorithm for jointly optimizing source and channel codes. The algorithm uses a channel-optimized vector quantization (COVQ) for the source code, and a rate-punctured convolutional code (RCPC) for the channel code. The genetic algorithm (GA) is used for concurrent design of both source and channel codes. The GA enhances the robustness of the rate-distortion performance of the COVQ to selection of initial codebooks. In addition, it reduces the computational time for realizing the unequal error protection scheme best matched to the COVQ. Numerical results show that the algorithm attains near optimal performance while having low computational complexity.