DocumentCode :
1780113
Title :
Finite block-length gains in distributed source coding
Author :
Shirani, Farhad ; Pradhan, S. Sandeep
Author_Institution :
EECS Dept., Univ. of Michigan, Ann Arbor, MI, USA
fYear :
2014
fDate :
June 29 2014-July 4 2014
Firstpage :
1702
Lastpage :
1706
Abstract :
A new coding scheme for the distributed source coding problem for general discrete memoryless sources is presented. The scheme involves a two-layered coding strategy, the first layer code is of constant finite block-length whereas the second layer contains codes of block-length approaching infinity. It is argued that small block-length codes preserve correlations between sources more efficiently, while suffering rate-loss in a point-to-point compression perspective. Consequently, there is a sweet-spot for the length of the code. An achievable rate-distortion region is characterized using single-letter distributions. It is shown that this region strictly contains previous known achievable rate-distortion regions for the distributed source coding problem.
Keywords :
data compression; source coding; achievable rate-distortion region; constant finite block-length; distributed source coding problem; finite block-length gains; first layer code; point-to-point compression perspective; two-layered coding strategy; Decoding; Probability distribution; Quantization (signal); Source coding; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location :
Honolulu, HI
Type :
conf
DOI :
10.1109/ISIT.2014.6875124
Filename :
6875124
Link To Document :
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