A wyner ziv codec based on equalization at the decoder

Azadeh Vosoughi, Anna Scaglione

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

2 Scopus citations

Abstract

In this paper we consider the problem of lossy coding of correlated vector sources with uncoded side information available at the decoder. In particular, we consider lossy coding of source x ⊂ ℝN which is correlated with source y ⊂ ℝN, known at the decoder. The general non-linear mapping between y and x capturing the correlation between the two sources can be approximated through a linear model y = Hx+n in which n is independent of x. This model can be viewed as a fictitious communication channel with input x and output y. Utilizing a powerful signal processing technique, namely channel equalization, we convert the original vector source coding problem into a set of manageable scalar source coding problems. The scalar source coding problems can be solved using the existing distributed source coding algorithms that are primarily designed for the simple correlation model y = x + n where x and y are scalar jointly Gaussian sources.

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
Pages1237-1246
Number of pages10
Volume3
ISBN (Print)9781604234916
StatePublished - 2005
Externally publishedYes
Event43rd Annual Allerton Conference on Communication, Control and Computing 2005 - Monticello, United States
Duration: Sep 28 2005Sep 30 2005

Other

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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Vosoughi, A., & Scaglione, A. (2005). A wyner ziv codec based on equalization at the decoder. In 43rd Annual Allerton Conference on Communication, Control and Computing 2005 (Vol. 3, pp. 1237-1246). University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering.