Many-Help-One Problem for Gaussian Sources with a Tree Structure on their Correlation

TL;DR

This paper extends the understanding of the many-help-one problem for Gaussian sources by analyzing a tree-structured correlation model, deriving explicit bounds and formulas for the rate distortion region.

Contribution

The paper generalizes previous results to sources with a tree-structured correlation, providing explicit bounds and recursive formulas for the rate distortion region.

Findings

Explicit outer bound of the rate distortion region derived.

Sufficient condition for tightness of the outer bound established.

Recursive formula for the sum rate part obtained for certain Gaussian sources.

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 this paper we derive an explicit outer bound of the rate distortion region when information sources satisfy the TS condition. We further derive an explicit sufficient condtion for this outer bound to be tight. In particular, we determine the sum rate part of the rate distortion region for the case where information sources satisfy the TS condition. For some class of Gaussian sources with the TS condition we derive an explicit recursive formula of this sum rate part.