Universal Wyner-Ziv Coding for Distortion Constrained General Side-Information

被引：0

作者：

Watanabe, Shun ^{[1
,2
]}

Kuzuoka, Shigeaki ^{[3
]}

机构：

[1] Univ Tokushima, Dept Informat Sci & Intelligent Syst, Tokushima 7708506, Japan

[2] Univ Maryland, Syst Res Inst, College Pk, MD 20742 USA

[3] Wakayama Univ, Dept Comp & Commun Sci, Wakayama 6408510, Japan

来源：

2013 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS (ISIT) | 2013年

关键词：

SUCCESSIVE REFINEMENT; INDIVIDUAL SEQUENCES; NETWORKS; DECODER;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We investigate the Wyner-Ziv coding in which the statistics of the principal source is known but the statistics of the channel generating the side-information is unknown except that it is in a certain class. The class consists of channels such that the distortion between the principal source and the side-information is smaller than a threshold, but channels may be neither stationary nor ergodic. In this situation, we define a new rate-distortion function as the minimum rate such that there exists a Wyner-Ziv code that is universal for every channel in the class. Then, we show an upper bound and a lower bound on the rate-distortion function, and derive a matching condition such that the upper and lower bounds coincide.

引用

页码：1357 / +

页数：2

共 28 条

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