Multiple-description coding by dithered delta-sigma quantization

Jan Østergaard*, Ram Zamir

*Corresponding author for this work

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


In this paper we address the connection between the multiple-description (MD) problem and Delta-Sigma quantization. Specifically, we exploit the inherent redundancy due to oversampling in Delta-Sigma quantization, and the simple linear-additive noise model resulting from dithered lattice quantization, in order to construct a symmetric MD coding scheme. We show that the use of feedback by means of a noise shaping filter makes it possible to trade off central distortion for side distortion. Asymptotically as the dimension of the lattice vector quantizer and order of the noise shaping filter approach infinity, we show that the symmetric two-channel MD rate-distortion function for the memoryless Gaussian source and MSE fidelity criterion can be achieved at any resolution. This realization provides a new interesting interpretation for the information theoretic solution. The proposed design is symmetric in rate by construction and there is therefore no need for source splitting.

Original languageEnglish
Title of host publicationProceedings - DCC 2007
Subtitle of host publication2007 Data Compression Conference
Number of pages10
StatePublished - 2007
EventDCC 2007: 2007 Data Compression Conference - Snowbird, UT, United States
Duration: 27 Mar 200729 Mar 2007

Publication series

NameData Compression Conference Proceedings
ISSN (Print)1068-0314


ConferenceDCC 2007: 2007 Data Compression Conference
Country/TerritoryUnited States
CitySnowbird, UT


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