个别LDGM码的率失真函数下界

S. Kudekar, R. Urbanke
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引用次数: 13

摘要

我们考虑用低密度生成矩阵码对二进制对称源进行有损压缩。我们导出了速率失真函数的两个下界,这两个下界适用于发生器集上具有给定节点度分布L(x)的任何低密度发生器-矩阵编码和任何编码算法。这些边界表明,由于代码的稀疏性,性能被严格地限制在香农率失真函数之外。在这个意义上,我们的界代表了Gallagerpsilas界在低密度奇偶校验码可用于可靠传输的最大速率上的自然推广。我们的界限受到了Dimakis、Wainwright和Ramchandran最近工作的启发,但它们适用于单个代码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lower bounds on the rate-distortion function of individual LDGM codes
We consider lossy compression of a binary symmetric source by means of a low-density generator-matrix code. We derive two lower bounds on the rate distortion function which are valid for any low-density generator-matrix code with a given node degree distribution L(x) on the set of generators and for any encoding algorithm. These bounds show that, due to the sparseness of the code, the performance is strictly bounded away from the Shannon rate-distortion function. In this sense, our bounds represent a natural generalization of Gallagerpsilas bound on the maximum rate at which low-density parity-check codes can be used for reliable transmission. Our bounds are inspired by the recent work of Dimakis, Wainwright, and Ramchandran, but they apply to individual codes.
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