An analysis of slepian-wolf coding problem based on the asymptotic normality

研究成果: Article

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Source coding theorem reveals the minimum achievable code length under the condition that the error probability is smaller than or equal to some small constant. In the single user communication system, the source coding theorem was proved for general sources. The class of general source is quite large and it is important result since the result can be applied for a wide class of sources. On the other hand there are several studies to evaluate the achievable code length more precisely for the restricted class of sources by using the restriction. In the multi-user communication system, although the source coding theorem was proved for general correlated sources, there is no study to evaluate the achievable code length more precisely. In this study, we consider the stationary memoryless correlated sources and show the coding theorem for Slepian-Wolf type problem more precisely than the previous result.

元の言語English
ページ(範囲)2220-2225
ページ数6
ジャーナルIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
E94-A
発行部数11
DOI
出版物ステータスPublished - 2011 11

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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