An Asymmetric Difference Multiple Description Gaussian Noise Channel

Jan Oøstergaard, Yuval Kochman, Ram Zamir

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

2 Scopus citations

Abstract

Ozarow's test channel for the quadratic Gaussian (QG) multiple description (MD) problem consists of two correlated AWGN channels. It is known that simply replacing the AWGN channels by quantizers with equivalent statistical properties as the channels, will generally not lead to a rate-distortion optimal realization of the MD rate-distortion function. We have previously proposed a symmetric two-channel model for the QG MD problem for the case, where the two noise terms have equal variances. We show in this paper, that by replacing the AWGN channels of this model by quantizers that are statistical equivalent to the channels, will under high-resolution assumption be rate-distortion optimal. We furthermore extend this symmetric two-channel model to the asymmetric case, and provide a simple suboptimal implementation of the channel based on scalar quantizers. Simulations are provided to show the performance of the proposed implementation.

Original languageAmerican English
Title of host publicationProceedings - DCC 2017, 2017 Data Compression Conference
EditorsAli Bilgin, Joan Serra-Sagrista, Michael W. Marcellin, James A. Storer
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages360-369
Number of pages10
ISBN (Electronic)9781509067213
DOIs
StatePublished - 8 May 2017
Event2017 Data Compression Conference, DCC 2017 - Snowbird, United States
Duration: 4 Apr 20177 Apr 2017

Publication series

NameData Compression Conference Proceedings
VolumePart F127767
ISSN (Print)1068-0314

Conference

Conference2017 Data Compression Conference, DCC 2017
Country/TerritoryUnited States
CitySnowbird
Period4/04/177/04/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Gaussian noise channels
  • Multiple descriptions
  • quantization
  • test channels

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