Lossy network correlated data gathering with high-resolution coding
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Lossy network correlated data gathering with high-resolution coding
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
High-rate quantization and transform coding with side information at the decoder
Signal Processing - Special section: Distributed source coding
Designing routes for source coding with explicit side information in sensor networks
IEEE/ACM Transactions on Networking (TON)
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
Distributed MIMO systems for nomadic applications over a symmetric interference channel
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
On the sum rate of Gaussian multiterminal source coding: new proofs and results
IEEE Transactions on Information Theory
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We consider separate encoding and joint decoding of correlated continuous information sources, subject to a difference distortion measure. We first derive a multiterminal extension of the Shannon lower bound for the rate region. Then we show that this Shannon outer bound is asymptotically tight for small distortions. These results imply that the loss in the sum of the coding rates due to the separation of the encoders vanishes in the limit of high resolution. Furthermore, lattice quantizers followed by Slepian-Wolf lossless encoding are asymptotically optimal. We also investigate the high-resolution rate region in the remote coding case, where the encoders observe only noisy versions of the sources. For the quadratic Gaussian case, we establish a separation result to the effect that multiterminal coding aimed at reconstructing the noisy sources subject to the rate constraints, followed by estimation of the remote sources from these reconstructions, is optimal under certain regularity conditions on the structure of the coding scheme