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IEEE Transactions on Information Theory
Article . 2014 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://doi.org/10.1109/isit.2...
Article . 2012 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2011
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Multiterminal Source Coding Under Logarithmic Loss

Authors: Thomas A. Courtade; Tsachy Weissman;

Multiterminal Source Coding Under Logarithmic Loss

Abstract

We consider the classical two-encoder multiterminal source coding problem where distortion is measured under logarithmic loss. We provide a single-letter characterization of the achievable rate distortion region for arbitrarily correlated sources with finite alphabets. In doing so, we also give the rate distortion region for the $m$-encoder CEO problem (also under logarithmic loss). Several applications and examples are given.

52 pages, 5 figures. Submitted to IEEE Transactions on Information Theory, partial version appeared in IEEE International Symposium on Information Theory (ISIT) 2012. Version 3 contains minor revisions and corrects the proof of the strengthened converse of Theorem 6

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Keywords

FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
119
Top 10%
Top 1%
Top 10%
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bronze