Worst-Case Source for Distributed Compression with Quadratic Distortion

preprint2012arXivOpen access

Abstract

We consider the k-encoder source coding problem with a quadratic distortion measure. We show that among all source distributions with a given covariance matrix K, the jointly Gaussian source requires the highest rates in order to meet a given set of distortion constraints.

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