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Distributed source coding system for correlated Gaussian observations

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1 Author(s)
Oohama, Y. ; Dept. of Inf. Sci. & Intell. Syst., Univ. of Tokushima, Tokushima, Japan

We consider the distributed source coding system for L correlated Gaussian remote sources Xi, i = 1, 2,···, L, where Xi, i = 1, 2, ·, L are L correlated Gaussian random variables. We deal with the case where each of L distributed encoders can not directly observe Xi but its noisy version Yi = Xi +Ni. Here Ni, i = 1,2,···, L are independent additive L Gaussian noises also independent of Xi, i = 1, 2,···, L. On this coding system the determination problem of the rate distortion region remains open. In our previous works, we derived explicit outer and inner bounds of the rate distortion region and explicit sufficient condition for those two to match. In this paper we derive a stronger sufficient condition for the inner and outer bound to match. We further study the sum rate part of the rate distortion region when the correlation has some symmetrical property and derive a new lower bound of the sum rate part. We further derive a sufficient condition for this lower bound to be tight. The derived sufficient condition depends only on the correlation property of the sources and their observations.

Published in:

Information Theory Workshop, 2009. ITW 2009. IEEE

Date of Conference:

11-16 Oct. 2009