Title :
Vector Gaussian Multiple Description With Two Levels of Receivers
Author :
Wang, Hua ; Viswanath, Pramod
Author_Institution :
Qualcomm Flarion Technol., Bridgewater, NJ
Abstract :
The problem of L multiple descriptions of a stationary and ergodic Gaussian source with two levels of receivers is investigated. Each of the first-level receivers receive (an arbitrary subset) k of the L descriptions,(k<L). The second-level receiver receives all L descriptions. All the receivers, both at the first level and the second level, reconstruct the source using the subset of descriptions they receive. The corresponding reconstructions are subject to quadratic distortion constraints. Our main result is the derivation of an outer bound on the sum rate of the descriptions so that the distortion constraints are met. We show that an analog-digital separation architecture involving joint Gaussian vector quantizers and a binning scheme meets this outer bound with equality for several scenarios. These scenarios include the case when the distortion constraints are symmetric and the case for general distortion constraints with k=2 and L=3.
Keywords :
Gaussian noise; vector quantisation; L-multiple description; analog-digital separation architecture; binning scheme; first-level receiver; joint Gaussian vector quantizer; quadratic distortion constraint; vector Gaussian multiple description; Communication channels; Constraint theory; Covariance matrix; Decoding; Distortion measurement; Information theory; Quality of service; Rate-distortion; Source coding; Symmetric matrices; Binning; Gaussian source; inner bound; multiple description problem; outer bound; rate distortion;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2008.2008146