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arXiv · 1207.2505

Second-Order Slepian-Wolf Coding Theorems for Non-Mixed and Mixed Sources

Ryo Nomura·Te Sun Han
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Abstract

The second-order achievable rate region in Slepian-Wolf source coding systems is investigated. The concept of second-order achievable rates, which enables us to make a finer evaluation of achievable rates, has already been introduced and analyzed for general sources in the single-user source coding problem. Analogously, in this paper, we first define the second-order achievable rate region for the Slepian-Wolf coding system to establish the source coding theorem in the second- order sense. The Slepian-Wolf coding problem for correlated sources is one of typical problems in the multi-terminal information theory. In particular, Miyake and Kanaya, and Han have established the first-order source coding theorems for general correlated sources. On the other hand, in general, the second-order achievable rate problem for the Slepian-Wolf coding system with general sources remains still open up to present. In this paper we present the analysis concerning the second- order achievable rates for general sources which are based on the information spectrum methods developed by Han and Verdu. Moreover, we establish the explicit second-order achievable rate region for i.i.d. correlated sources with countably infinite alphabets and mixed correlated sources, respectively, using the relevant asymptotic normality.

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Ryo Nomura, Te Sun Han. 2012-07-10. Second-Order Slepian-Wolf Coding Theorems for Non-Mixed and Mixed Sources. https://arxiv.org/abs/1207.2505

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