Analog matching of colored sources to colored channels

Yuval Kochman*, Ram Zamir

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

Uncoded transmission provides a simple, delay-less and robust scheme for communicating a Gaussian source over a filter channel under the mean squared error (MSE) distortion measure. Unfortunately, its performance is usually inferior to the all-digital solution, consisting of a rate-distortion code for the source followed by a capacity achieving code for the channel. The performance loss of uncoded transmission comes from the fact that except for very special cases, it is impossible to achieve simultaneous matching of source to channel and channel to source by linear means. We show that by combining prediction and modulolattice arithmetic, we can match any stationary Gaussian source to any inter-symbol interference, colored-noise Gaussian channel, hence we achieve Shannon's optimum attainable performance ' R(D) = C. This scheme is based upon a novel analog modulolattice solution to the joint source-channel coding problem for a Gaussian Wyner-Ziv source and a dirty-paper channel.

Original languageAmerican English
Title of host publicationProceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1539-1543
Number of pages5
ISBN (Print)1424405041, 9781424405046
DOIs
StatePublished - 2006
Externally publishedYes
Event2006 IEEE International Symposium on Information Theory, ISIT 2006 - Seattle, WA, United States
Duration: 9 Jul 200614 Jul 2006

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8101

Conference

Conference2006 IEEE International Symposium on Information Theory, ISIT 2006
Country/TerritoryUnited States
CitySeattle, WA
Period9/07/0614/07/06

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