Locally Decodable Slepian-Wolf Compression

Shashank Vatedka, V. Chandar, A. Tchamkerten
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引用次数: 3

Abstract

This paper investigates the Slepian-Wolf distributed compression of two sources Xn and Yn with the additional property that any pair (Xi, Yi) should reliably be decoded by probing a small number d of compressed bits. We show that for certain source distributions, the error probability of any such local decoder is lower bounded by 2–O(d), in the worst case over index i, whenever one of the sources is compressed below its entropy. Unlike the single-source setup, it is thus impossible to simultaneously achieve constant local decodability d and vanishing local decoding error probability as n increases. We also provide a compression scheme with a local decoder that almost achieves the above lower bound.
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局部可解码的睡眠狼压缩
我们表明,对于某些源分布,在索引i的最坏情况下,当其中一个源被压缩到其熵以下时,任何此类局部解码器的错误概率的下限为2-O (d)。与单源设置不同,因此不可能同时实现恒定的局部可解码性d和随着n的增加而消失的局部解码错误概率。我们还提供了一个带有本地解码器的压缩方案,几乎可以达到上述下界。
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