The search functionality is under construction.

IEICE TRANSACTIONS on Fundamentals

An Analysis of Slepian-Wolf Coding Problem Based on the Asymptotic Normality

Ryo NOMURA, Toshiyasu MATSUSHIMA

  • Full Text Views

    0

  • Cite this

Summary :

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.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E94-A No.11 pp.2220-2225
Publication Date
2011/11/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E94.A.2220
Type of Manuscript
Special Section LETTER (Special Section on Information Theory and Its Applications)
Category
Information Theory

Authors

Keyword