A Study of the Iterative Joint Source-Channel Decoding for the Serially Concatenated LZ77 Codes and Convolutional Codes

• Main Authors: Lin, Xiao Xue, 林孝學
• Other Authors: Huang, Yuh-Ming
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/25955309462347179025

碩士 === 國立暨南國際大學 === 資訊工程學系 === 99 === The main concept of the Iterative Joint Source-Channel Decoding is to achieve lower decoding error rate by the source decoder and the channel decoder in exchange of the information between each other. In the iterative decoding, we usually use the BCJR soft output algorithm to get the better error correcting performance. However, the decoding complexity will increase exponentially as the numbers of trellis states gradually becomes larger. Hence, the trellis-based sequential and its soft output decoding algorithms are proposed to reduce the computational complexity. Both the computational complexity and the performance between the tree-based and the trellis-based decoding algorithms are compared thoroughly.