Density evolution analysis of correlated sources compressed with LDPC codes

被引：0
|
作者：
Tian, T [1 ]
Garcia-Frias, J [1 ]
Zhong, W [1 ]
机构：
[1] Univ Calif Los Angeles, Dept Elect Engn, Los Angeles, CA 90024 USA
来源：
2003 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY - PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We consider a compression system for memory correlated binary sources using irregular LDPC codes as source codes. In order to incorporate the Hidden Markov Model (HMM) defining the source correlation, we propose a modified density evolution algorithm. Irregular LDPC codes optimized with this algorithm achieve a performance close to the theoretical Slepian-Wolf limit.
引用
收藏
页码：172 / 172
页数：1
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