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http://arxiv.org/pdf/0902.1591...
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arXiv.org e-Print Archive
Preprint . 2009
Data sources: arXiv.org e-Print Archive
https://doi.org/10.1109/isit.2...
Article . 2009 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2009
License: arXiv Non-Exclusive Distribution
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http://dblp.uni-trier.de/db/co...
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Correlated sources over broadcast channels

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jun 2009Embargo end date: 01 Jan 2009Publisher:IEEEJournal:2009 IEEE International Symposium on Information Theory
Authors: Paolo Minero; Young-Han Kim;

doi: 10.1109/isit.2009.5205803 , 10.48550/arxiv.0902.1591

arXiv: http://arxiv.org/abs/0902.1591

Correlated sources over broadcast channels

Abstract

The problem of reliable transmission of correlated sources over the broadcast channel, originally studied by Han and Costa, is revisited. An alternative characterization of their sufficient condition for reliable transmission is given, which includes results of Marton for channel coding over broadcast channels and of Gray and Wyner for distributed source coding. A ``minimalistic'' coding scheme is presented, which is based on joint typicality encoding and decoding, without requiring the use of Cover's superposition coding, random hashing, and common part between two sources. The analysis of the coding scheme is also conceptually simple and relies on a new multivariate covering lemma and an application of the Fourier--Motzkin elimination procedure.

9 pages, 1 figure. Updated version, with proofs and minor changes

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Keywords

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

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citations
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!
11
Average
Top 10%
Top 10%
Green
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