DocumentCode :
771691
Title :
Zero-Error Source–Channel Coding With Side Information
Author :
Nayak, Jayanth ; Tuncel, Ertem ; Rose, Kenneth
Author_Institution :
IRISA/INRIA
Volume :
52
Issue :
10
fYear :
2006
Firstpage :
4626
Lastpage :
4629
Abstract :
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
Keywords :
combined source-channel coding; error statistics; Lovasz theta function; error probability; zero-error source-channel coding; Channel coding; Codes; Communication systems; Computer errors; Feedback; Information analysis; Information theory; Laboratories; Materials science and technology; Memoryless systems; Graph homomorphisms; LovÁsz theta function; source–channel separation; zero-error coding;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2006.881718
Filename :
1705019
Link To Document :
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