Multimedia Transmission Based on Distributed Genetic Algorithm

• Main Authors: Wen-Wei Hu, 胡文偉
• Other Authors: Wen-Jyi Hwang
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/8fyz87

碩士 === 中原大學 === 電機工程研究所 === 92 === The objective of this thesis is to perform the multimedia transmission based on distributed genetic algorithm (DGA). Its content can be divided into two parts: one is a novel algorithm for jointly optimizing source and channel codes, and the other is to optimize layered video transmission based on distributed genetic algorithm for lossy channels. On the part of the jointly optimizing source and channel codes, the algorithm uses the channel-optimized vector quantization (COVQ) for the source code, and rate-punctured convolutional coding (RCPC) for the channel code. The DGA enhances the robustness of the rate-distortion performance of the COVQ to the selection of initial codewords. 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. Furthermore, we use DGA to optimize layered video transmission system in lossy channel. Embedded bit streams can be produced with source encoder for realizing layered transmission system. Although the 3D SPIHT is effective for the implementation of layered transmission systems, its performance can be severely degraded when the bit streams are delivered over loss channels. A proper error protection scheme is therefore necessary for robust video transmission. Because the significant of bit streams delivered in different layer in this system are not equal, so we use unequal error protection. In this thesis, we apply DGA to combine channel coding with Pseudo-ARQ to optimize allocation. The simulation demonstrates that it can reach optimal performance.