DocumentCode
3841309
Title
On the Redundancy of Slepian–Wolf Coding
Author
Da-ke He;Luis A. Lastras-Montano;En-hui Yang;Ashish Jagmohan;Jun Chen
Author_Institution
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Volume
55
Issue
12
fYear
2009
Firstpage
5607
Lastpage
5627
Abstract
In this paper, the redundancy of both variable and fixed rate Slepian-Wolf coding is considered. Given any jointly memoryless source-side information pair {(Xi, Yi)}i=1 infin with finite alphabet, the redundancy Rn(isinn) of variable rate Slepian-Wolf coding of X1 n with decoder only side information Y1 n depends on both the block length n and the decoding block error probability isinn, and is defined as the difference between the minimum average compression rate of order n variable rate Slepian-Wolf codes having the decoding block error probability less than or equal to isinn, and the conditional entropy H(X|Y), where H(X|Y) is the conditional entropy rate of the source given the side information. The redundancy of fixed rate Slepian-Wolf coding of X1 n with decoder only side information Y1 n is defined similarly and denoted by RF n(isinn). It is proved that under mild assumptions about isinn, Rn(isinn) = dvradic-log isinn/n + (oradic-log isinn/n) and RF n(isinn) - dfradic-log isinn/n + o(radic-log isinn/n), where df and dnu are two constants completely determined by the joint distribution of the source-side information pair. Since dv is generally smaller than df, our results show that variable rate Slepian-Wolf coding is indeed more efficient than fixed rate Slepian-Wolf coding.
Keywords
"Decoding","Redundancy","Error probability","Source coding","Information theory","Entropy","Data compression","Random variables","Councils"
Journal_Title
IEEE Transactions on Information Theory
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2009.2032803
Filename
5319764
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