DocumentCode
985452
Title
Kraft Inequality and Zero-Error Source Coding With Decoder Side Information
Author
Tuncel, Ertem
Author_Institution
Dept. of Electr. Eng., California Univ., Riverside, CA
Volume
53
Issue
12
fYear
2007
Firstpage
4810
Lastpage
4816
Abstract
For certain source coding problems, it is well known that the Kraft inequality provides a simple sufficient condition for the existence of codes with given codeword lengths. Motivated by this fact, a sufficient condition based on the Kraft inequality can also be sought for the problem of zero-error instantaneous coding with decoder side information. More specifically, it can be envisioned that a sufficient condition for the existence of such codes with codeword lengths {l x} is that for some 0<alphales<1 SigmaxepsivFscr (2-l x)lesalpha for each clique Fscr in the characteristic graph G of the source-side information pair. In this correspondence, it is shown that (1) if the above is indeed a sufficient condition for a class G of graphs, then it is possible to come as close as 1-log2 alpha bits to the asymptotic limits for each graph in G, (2) there exist graph classes of interest for which such a can indeed be found, and finally (3) no such n can be found for the class of all graphs.
Keywords
decoding; graph theory; source coding; Kraft inequality; decoder side information; zero-error instantaneous coding; zero-error source coding; Application software; Bibliographies; Decoding; Entropy; Random number generation; Rivers; Source coding; Statistics; Sufficient conditions; Thermodynamics; Clique entropy; Kraft inequality; confusability graph; rectangle packing; redundancy; side information; zero-error;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2007.909161
Filename
4385789
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