Presentation 2010-05-21
Distributed Source Coding of Correlated Memoryless Gaussian Sources
Yasutada OOHAMA,
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Abstract(in English) We consider the distributed source coding system of L correlated Gaussian sources Y_i, i = 1, 2, …, L. We assume that Y^L = ^t(Y_1, Y_2, … , Y_L) is an observation of the remote source vector X^L = ^t(X_1, X_2, … , X_L), having the form Y^L = X^K + N^L, where N^L = ^t(N_1, N_2, … , N_L) is a vector of L independent Gaussian random variables also independent of XL. In this system L correlated Gaussian observations are separately compressed by L encoders and sent to the information processing center. In this paper, we study the multiterminal source coding problem where the decoder wishes to reconstruct the observation Y^L = X^L + N^L. We consider three distortion criteria based on the covariance matrix of the estimation error on Y^L. For each of those three criteria we derive explicit inner and outer bounds of the rate distortion region.
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Keyword(in English) Multiterminal source coding / distributed source coding / correlated memoryless Gaussian sources / rate distortion region / CEO problem
Paper # IT2010-4
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Committee IT
Conference Date 2010/5/14(1days)
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Registration To Information Theory (IT)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Distributed Source Coding of Correlated Memoryless Gaussian Sources
Sub Title (in English)
Keyword(1) Multiterminal source coding
Keyword(2) distributed source coding
Keyword(3) correlated memoryless Gaussian sources
Keyword(4) rate distortion region
Keyword(5) CEO problem
1st Author's Name Yasutada OOHAMA
1st Author's Affiliation Department of Information Science and Intelligent Systems, University of Tokushima()
Date 2010-05-21
Paper # IT2010-4
Volume (vol) vol.110
Number (no) 43
Page pp.pp.-
#Pages 6
Date of Issue