Worst-Case Source for Distributed Compression with Quadratic Distortion
arXiv:1208.1784 · doi:10.1109/ITW.2012.6404654
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.
To be presented at the IEEE Information Theory Workshop (ITW) 2012