DocumentCode :
2651128
Title :
Sum rate characterization for the Gaussian many-help-one problem
Author :
Oohama, Yasutada
Author_Institution :
Dept. of Inf. Sci. & Intell. Syst., Univ. of Tokushima, Tokushima, Japan
fYear :
2009
fDate :
11-16 Oct. 2009
Firstpage :
323
Lastpage :
327
Abstract :
In this paper we consider the separate coding problem for L+1 correlated Gaussian memoryless sources. We deal with the case where L separately encoded data of sources work as side information at the decoder for the reconstruction of the remaining source. The determination problem of the rate distortion region for this system is the so called many-help-one problem and has been known as a highly challenging problem. The author determined the rate distortion region in the case where the L sources working as partial side information are conditionally independent if the remaining source we wish to reconstruct is given. This condition on the correlation is called the CI condition. In this paper we extend the author´s previous result to the case where L + 1 sources satisfy a kind of tree structure on their correlation. We call this tree structure of information sources the TS condition, which contains the CI condition as a special case. In our recent work we determine the sum rate part of the rate distortion region for the case where information sources satisfy the TS condition. In this paper we derive an explicit recursive formula of this sum rate part for some class of Gaussian sources with the TS condition. Our result contains the author´s previous result on the quadratic Gaussian CEO problem as a special case.
Keywords :
Gaussian processes; decoding; encoding; rate distortion theory; Gaussian many-help-one problem; Gaussian sources; L+1 correlated Gaussian memoryless sources; TS condition; coding problem; decoder; quadratic Gaussian CEO problem; rate distortion region; sum rate characterization; Conferences; Decoding; Information processing; Information science; Information theory; Intelligent systems; Random variables; Rate-distortion; Source coding; Tree data structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Workshop, 2009. ITW 2009. IEEE
Conference_Location :
Taormina
Print_ISBN :
978-1-4244-4982-8
Electronic_ISBN :
978-1-4244-4983-5
Type :
conf
DOI :
10.1109/ITW.2009.5351379
Filename :
5351379
Link To Document :
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