DocumentCode
2057561
Title
A new source-splitting approach to the slepian-wolf problem
Author
Coleman, T. ; Lee, Albert ; Medard, M. ; Effros, M.
Author_Institution
Lab. for Inf. & Decision Syst., Massachusetts Inst. of Technol., Cambridge, MA
fYear
2004
fDate
June 27 2004-July 2 2004
Firstpage
332
Lastpage
332
Abstract
It is shown that achieving an arbitrary rate-point in the achievable region of the M-source Slepian-Wolf (Ref.1) problem may be reduced via a practical source-splitting transformation to achieving a corner point in a 2M-1 source Slepian-Wolf problem. Moreover, each source must be split at most once. This approach extends the ideas introduced in (B. Rimoldi et al., 1997) to a practical setting: it does not require common randomness shared between splitters and the decoders, the cardinality of each source split is strictly smaller than the original, and practical iterative decoding methods can achieve rates near the theoretical bound
Keywords
iterative decoding; sequences; Slepian-Wolf problem; arbitrary rate-point; iterative decoding methods; source-splitting approach; Data compression; Entropy; Error analysis; Iterative decoding; Laboratories; Pipelines;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-8280-3
Type
conf
DOI
10.1109/ISIT.2004.1365369
Filename
1365369
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