Zero-error source- Channel coding with side information

被引:9
|
作者
Nayak, Jayanth
Tuncel, Ertem
Rose, Kenneth
机构
[1] Inst Rech Informat & Syst Aleatoires, INRIA, F-35042 Rennes, France
[2] Univ Calif Riverside, Dept Elect Engn, Riverside, CA 92521 USA
[3] Univ Calif Santa Barbara, Dept Elect & Comp Engn, Santa Barbara, CA 93106 USA
基金
美国国家科学基金会;
关键词
graph homomorphisms; Lovasz theta function; source-channel separation; zero-error coding;
D O I
10.1109/TIT.2006.881718
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This correspondence presents a novel application of the theta function defined by Lovasz. The problem of coding for transmission of a source through a channel without error when the receiver has side information about the source is analyzed. Using properties of the Lovasz theta function, it is shown that separate source and channel coding is asymptotically suboptimal in general. By contrast, in the case of vanishingly small probability of error, separate source and channel coding is known to be asymptotically optimal. For the zero-error case, it is further shown that the joint coding gain can in fact be unbounded. Since separate coding simplifies code design and use, conditions on sources and channels for the optimality of separate coding are also derived.
引用
收藏
页码:4626 / 4629
页数:4
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