On the performance of linear Slepian-Wolf codes for correlated stationary memoryless sources

Shengtian Yang, Peiliang Qiu
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引用次数: 8

Abstract

We derive an upper bound on the average MAP decoding error probability of random linear SW codes for arbitrary correlated stationary memoryless sources defined on Galois fields. By using this tool, we analyze the performance of SW codes based on LDPC codes and random permutations, and show that under some conditions, all but a diminishingly small proportion of LDPC encoders and permutations are good enough for the design of practical SW systems when the coding length is very large.
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相关平稳无记忆源下线性睡眠-狼码的性能研究
我们推导了在伽罗瓦场上定义的任意相关平稳无记忆源的随机线性SW码的MAP平均译码错误概率的上界。利用该工具,我们分析了基于LDPC编码和随机排列的软件编码的性能,并表明在某些条件下,当编码长度非常大时,除了越来越少的LDPC编码器和排列外,所有的LDPC编码器和排列都足以满足实际软件系统的设计。
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