A Wyner Ziv codec for correlated vector sources

Azadeh Vosoughi, Anna Scaglione

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

Abstract

In this paper we consider lossy coding of vector source x ∈ ℝN which is correlated with vector 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. We propose a compression scheme, namely, distributed adaptive compression (DAC). The DAC algorithm is inspired by the optimal solution for Gaussian sources and requires computation of the conditional Karhiinen-Loeve transform (CKLT) of the data at the encoder Viewing the dependency model as a fictitious communication channel we utilize linear minimum mean square error (LMMSE) equalizer at the decoder, to convert the original vector source coding problem into a set ofmanageable scalar source coding problems. Furthermore, inspired by bit loading strategies employed in wireless communication systems, we propose a rate allocation policy which minimizes the decoding error rate under a total rate constraint.

Original languageEnglish (US)
Title of host publication2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, SPAWC
DOIs
StatePublished - Dec 1 2006
Externally publishedYes
Event2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, SPAWC - Cannes, France
Duration: Jul 2 2006Jul 5 2006

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Other

Other2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Country/TerritoryFrance
CityCannes
Period7/2/067/5/06

ASJC Scopus subject areas

  • Signal Processing
  • Engineering(all)

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