On source-channel separation in networks. Tian, C., Chen, J., Diggavi, S N., & Shamai, S. In International Conference on Signal Processing and Communications (SPCOM), pages 1–5, June, 2010. abstract bibtex We consider the source-channel separation architecture for lossy source coding in communication networks. It is shown that the separation approach is optimal when the memoryless sources at source nodes are arbitrarily correlated, each of which is to be reconstructed at possibly multiple destinations within certain distortions, and the channels in this network are synchronized, orthogonal and memoryless (i.e., noisy graphs).
@inproceedings{TCDSc10b,
abstract = {We consider the source-channel separation architecture
for lossy source coding in communication networks. It
is shown that the separation approach is optimal when the
memoryless sources at source nodes are arbitrarily correlated,
each of which is to be reconstructed at possibly multiple
destinations within certain distortions, and the channels in this
network are synchronized, orthogonal and memoryless (i.e., noisy
graphs).},
author = {C. Tian and J. Chen and S N. Diggavi and S. Shamai},
booktitle = {International Conference on Signal Processing and Communications (SPCOM)},
file = {:papers:tcdsspcom10.pdf},
month = {June},
note = {},
pages = {1--5},
tags = {conf,SrcChan,ITapprox,NDC,IT,SelConf},
title = {On source-channel separation in networks},
type = {4},
year = {2010}
}
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