Compression of correlated Gaussian sources under individual distortion criteria

Jin Jun Xiao, Zhi-Quan Luo

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

28 Scopus citations

Abstract

In this paper we consider the joint compression of correlated Gaussian sources when each source has its own distortion criterion. We derive the rate-distortion function in the form of the solution to a semidefinite programming problem, for which analytical solutions can be obtained for the two source case. We compare the obtained results with: i) the classical Gaussian vector source compression; ii) the Gaussian multiterminal source coding. For the latter, the derived rate-distortion function provides a tighter lower bound for the sum rate-distortion function of the Gaussian multiterminal source coding than that of Oohama [9].

Original languageEnglish (US)
Title of host publication43rd Annual Allerton Conference on Communication, Control and Computing 2005
PublisherUniversity of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering
Pages438-447
Number of pages10
ISBN (Electronic)9781604234916
StatePublished - Jan 1 2005
Event43rd Annual Allerton Conference on Communication, Control and Computing 2005 - Monticello, United States
Duration: Sep 28 2005Sep 30 2005

Publication series

Name43rd Annual Allerton Conference on Communication, Control and Computing 2005
Volume1

Other

Other43rd Annual Allerton Conference on Communication, Control and Computing 2005
Country/TerritoryUnited States
CityMonticello
Period9/28/059/30/05

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