DocumentCode :
2850902
Title :
Constrained Wyner-Ziv source coding
Author :
Lapidoth, Amos ; Malär, Andreas ; Wigger, Michèle
Author_Institution :
ETH Zurich, Zurich, Switzerland
fYear :
2011
fDate :
6-11 Feb. 2011
Firstpage :
1
Lastpage :
2
Abstract :
We generalize the Wyner-Ziv source coding problem with side-information at the decoder to the case where the encoder is required to be able to compute the decoder´s reconstruction sequence with some fidelity. This requirement limits the extent to which the reconstruction sequence can depend on the side-information, which is not available to the encoder. For finite-alphabet memoryless sources and single-letter distortion measures we compute the minimal description rate as a function of the joint law of the source and side-information and of the allowed distortions at the encoder and decoder. We also treat memoryless Gaussian sources with mean squared-error distortion measures.
Keywords :
Gaussian distribution; decoding; mean square error methods; source coding; Wyner-Ziv source coding problem; decoder; encoder; finite-alphabet memoryless sources; mean squared-error distortion measures; memoryless Gaussian sources; reconstruction sequence; single-letter distortion measures; Decoding; Distortion measurement; Indexes; Joints; Markov processes; Rate-distortion; Source coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory and Applications Workshop (ITA), 2011
Conference_Location :
La Jolla, CA
Print_ISBN :
978-1-4577-0360-7
Type :
conf
DOI :
10.1109/ITA.2011.5743621
Filename :
5743621
Link To Document :
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