DocumentCode
1312113
Title
The Universality of Generalized Hamming Code for Multiple Sources
Author
Ma, Rick ; Cheng, Samuel
Author_Institution
Dept. of Math., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
Volume
59
Issue
10
fYear
2011
fDate
10/1/2011 12:00:00 AM
Firstpage
2641
Lastpage
2647
Abstract
We consider zero-error Slepian-Wolf coding for a special kind of correlated sources known as Hamming sources. Moreover, we focus on the design of codes with minimum redundancy (i.e., perfect codes). As shown in a prior work by Koulgi et al., the design of a perfect code for a general source is very difficult and in fact is NP-hard. In our recent work, we introduce a subset of perfect codes for Hamming sources known as Hamming Codes for Multiple Sources (HCMSs). In this work, we extend HCMSs to generalized HCMSs, which can be proved to include all perfect codes for Hamming sources. To prove our main result, we first show that any perfect code for a Hamming source with two terminals is equivalent to a Hamming code for asymmetric Slepian Wolf coding (c.f. Lemma 2). We then show that any multi-terminal (of more than two terminals) perfect code can be transformed to a perfect code for two terminals (c.f. Lemma 3) and to a perfect code with an asymmetric form (c.f. Lemma 4). Equipped with these results, we prove that every perfect Slepian-Wolf code for Hamming sources is equivalent to a generalized HCMS.
Keywords
Hamming codes; optimisation; source coding; HCMS; Hamming codes for multiple sources; NP-hard problem; asymmetric Slepian Wolf coding; generalized Hamming code; zero-error source coding; Base stations; Channel coding; Decoding; Entropy; Matrix decomposition; Redundancy; Hamming code; Slepian-Wolf coding; zero-error source coding;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOMM.2011.081711.100211
Filename
6007024
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