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Compression of correlated Gaussian sources under individual distortion criteria

  • Jin Jun Xiao
  • , Zhi-Quan Luo

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

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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