Worst-case source for distributed compression with quadratic distortion

Ilan Shomorony, A. Salman Avestimehr, Himanshu Asnani, Tsachy Weissman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We consider the k-encoder source coding problem with a quadratic distortion measure. We show that among all source distributions with a given covariance matrix K, the jointly Gaussian source requires the highest rates in order to meet a given set of distortion constraints.

Original languageEnglish (US)
Title of host publication2012 IEEE Information Theory Workshop, ITW 2012
Pages187-191
Number of pages5
DOIs
StatePublished - Dec 1 2012
Externally publishedYes
Event2012 IEEE Information Theory Workshop, ITW 2012 - Lausanne, Switzerland
Duration: Sep 3 2012Sep 7 2012

Publication series

Name2012 IEEE Information Theory Workshop, ITW 2012

Other

Other2012 IEEE Information Theory Workshop, ITW 2012
CountrySwitzerland
CityLausanne
Period9/3/129/7/12

ASJC Scopus subject areas

  • Information Systems

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  • Cite this

    Shomorony, I., Avestimehr, A. S., Asnani, H., & Weissman, T. (2012). Worst-case source for distributed compression with quadratic distortion. In 2012 IEEE Information Theory Workshop, ITW 2012 (pp. 187-191). [6404654] (2012 IEEE Information Theory Workshop, ITW 2012). https://doi.org/10.1109/ITW.2012.6404654