A distributed source coding framework for multiple sources

Abstract

In this paper the problem of compressing multiple correlated sources is addressed. It is assumed that the m sources are given as a sequence where an assumption is made only on the correlation between neighbouring sources. The correlation assumption is deterministic and Hamming-distance based (so-called "constrained correlation" in the literature). The problem of compressing such a sequence of correlated sources is easily solved by repeatedly applying the asymmetric Distributed Source Coding (DSC) for two sources, as in the DISCUS framework of [7]. In this paper we present an alternative, more general, framework that achieves the same overall compression rate but allows for more flexible comp..