IEEE Transactions on Information Theory
Gaussian multiterminal source coding
IEEE Transactions on Information Theory
The rate-distortion function for the quadratic Gaussian CEO problem
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Multiaccess fading channels. II. Delay-limited capacities
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Vector Gaussian Multiple Description With Individual and Central Receivers
IEEE Transactions on Information Theory
Rate Region of the Quadratic Gaussian Two-Encoder Source-Coding Problem
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
Two-way source coding with a helper
IEEE Transactions on Information Theory
On the sum rate of Gaussian multiterminal source coding: new proofs and results
IEEE Transactions on Information Theory
Hi-index | 754.96 |
Jointly Gaussian memoryless sources are observed at N distinct terminals. The goal is to efficiently encode the observations in a distributed fashion so as to enable reconstruction of any one of the observations, say the first one, at the decoder subject to a quadratic fidelity criterion. Our main result is a precise characterization of the rate-distortion region when the covariance matrix of the sources satisfies a "tree-structure" condition. In this situation, a natural analog-digital separation scheme optimally trades off the distributed quantization rate tuples and the distortion in the reconstruction: each encoder consists of a point-to-point Gaussian vector quantizer followed by a Slepian-Wolf binning encoder. We also provide a partial converse that suggests that the tree-structure condition is fundamental.