DocumentCode
3850665
Title
Distributed Rate-Distortion With Common Components
Author
Aaron B. Wagner;Benjamin G. Kelly;Yücel Altug
Author_Institution
School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA
Volume
57
Issue
7
fYear
2011
Firstpage
4035
Lastpage
4057
Abstract
We describe a scheme for rate-distortion with distributed encoding in which the sources to be compressed contain a common component. We show that this scheme is optimal in some situations and that it strictly improves upon existing schemes, which do not make full use of common components. This establishes that independent quantization followed by independent binning is not optimal for the two-encoder problem with a distortion constraint on one source. We also show that independent quantization and binning is suboptimal for the three-encoder problem in which the goal is to reproduce one of the sources losslessly. This provides a counterexample that is fundamentally different from one provided earlier by Körner and Marton. The proofs rely on the binary analogue of the entropy power inequality and the existence of a rate loss for the binary symmetric Wyner-Ziv problem.
Keywords
"Decoding","Rate-distortion","Random variables","Quantization","Encoding","Entropy","Markov processes"
Journal_Title
IEEE Transactions on Information Theory
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2011.2145570
Filename
5895101
Link To Document