Spatio-temporal correlation: theory and applications for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: In memroy of Olga Casals
Realizing the benefits of user-level channel diversity
ACM SIGCOMM Computer Communication Review
Spatial correlation-based collaborative medium access control in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Topics in Multi-User Information Theory
Foundations and Trends in Communications and Information Theory
Vector Gaussian multiple description with two levels of receivers
IEEE Transactions on Information Theory
Multiple-description coding by dithered delta-sigma quantization
IEEE Transactions on Information Theory
Multiple description coding for stationary Gaussian sources
IEEE Transactions on Information Theory
Approximating the Gaussian multiple description rate region under symmetric distortion constraints
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Gaussian multiple description coding with individual and central distortion constraints
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
On rate-constrained estimation in unreliable sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
New coding schemes for the symmetric K -description problem
IEEE Transactions on Information Theory
N-channel asymmetric entropy-constrained multiple-description lattice vector quantization
IEEE Transactions on Information Theory
Suppressing the Cliff Effect in Video Reproduction Quality
Bell Labs Technical Journal
| Hi-index | 755.26 |
In this two-part paper, we present a new achievable rate region for the general n-channel symmetric multiple descriptions problem. In part I, inspired by the concept of maximum-distance separable (MDS) erasure channel codes, we consider a special case of this rate region, where the source is encoded into n descriptions each with rate R. These descriptions are transmitted over n bandwidth constrained and errorless channels. During transmission, a subset of these channels can break down, thus erasing the corresponding descriptions. The decoder is interested in recovering the source with the reception of at least k descriptions. Thus, the encoder is allowed to sample only one realization of this breakdown process during the entire transmission. For Gaussian sources, we have the following interesting result: when any k descriptions arrive, the achievable distortion exactly matches the optimal distortion-rate performance corresponding to a source rate of kR bits; with the reception of any m k descriptions, the source reconstruction quality is strictly better, the improvement being nearly linear in the number of descriptions received.