Gaussian multiple descriptions with common and constrained reconstruction constraints

Ravi Tandon; Behzad Ahmadi; Osvaldo Simeone; H. Vincent Poor

doi:10.1109/ISIT.2012.6283486

Gaussian multiple descriptions with common and constrained reconstruction constraints

Ravi Tandon, Behzad Ahmadi, Osvaldo Simeone, H. Vincent Poor

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

The problem of multiple descriptions for a Gaussian source is considered, in which all the decoders have access to correlated Gaussian side-information. Two variations of this problem are studied. First, the rate-distortion tradeoff is characterized under the assumption of a common reconstruction constraint, in which the estimate produced at each of the decoders is also exactly recoverable at the encoder. Secondly, a generalization of this setup is studied in which possibly different distortions are tolerable between the estimates at the encoder and the respective estimates at each of the decoders.

Original language	English (US)
Title of host publication	2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012
Pages	1376-1380
Number of pages	5
DOIs	https://doi.org/10.1109/ISIT.2012.6283486
State	Published - Oct 22 2012
Event	2012 IEEE International Symposium on Information Theory, ISIT 2012 - Cambridge, MA, United States Duration: Jul 1 2012 → Jul 6 2012

Other

Other	2012 IEEE International Symposium on Information Theory, ISIT 2012
Country/Territory	United States
City	Cambridge, MA
Period	7/1/12 → 7/6/12

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Information Systems
Modeling and Simulation
Applied Mathematics

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10.1109/ISIT.2012.6283486

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title = "Gaussian multiple descriptions with common and constrained reconstruction constraints",

abstract = "The problem of multiple descriptions for a Gaussian source is considered, in which all the decoders have access to correlated Gaussian side-information. Two variations of this problem are studied. First, the rate-distortion tradeoff is characterized under the assumption of a common reconstruction constraint, in which the estimate produced at each of the decoders is also exactly recoverable at the encoder. Secondly, a generalization of this setup is studied in which possibly different distortions are tolerable between the estimates at the encoder and the respective estimates at each of the decoders.",

author = "Ravi Tandon and Behzad Ahmadi and Osvaldo Simeone and Poor, {H. Vincent}",

year = "2012",

month = oct,

day = "22",

doi = "10.1109/ISIT.2012.6283486",

language = "English (US)",

isbn = "9781467325790",

pages = "1376--1380",

booktitle = "2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012",

note = "2012 IEEE International Symposium on Information Theory, ISIT 2012 ; Conference date: 01-07-2012 Through 06-07-2012",

}

Tandon, R, Ahmadi, B, Simeone, O & Poor, HV 2012, Gaussian multiple descriptions with common and constrained reconstruction constraints. in 2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012., 6283486, pp. 1376-1380, 2012 IEEE International Symposium on Information Theory, ISIT 2012, Cambridge, MA, United States, 7/1/12. https://doi.org/10.1109/ISIT.2012.6283486

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T1 - Gaussian multiple descriptions with common and constrained reconstruction constraints

AU - Tandon, Ravi

AU - Ahmadi, Behzad

AU - Simeone, Osvaldo

AU - Poor, H. Vincent

PY - 2012/10/22

Y1 - 2012/10/22

N2 - The problem of multiple descriptions for a Gaussian source is considered, in which all the decoders have access to correlated Gaussian side-information. Two variations of this problem are studied. First, the rate-distortion tradeoff is characterized under the assumption of a common reconstruction constraint, in which the estimate produced at each of the decoders is also exactly recoverable at the encoder. Secondly, a generalization of this setup is studied in which possibly different distortions are tolerable between the estimates at the encoder and the respective estimates at each of the decoders.

AB - The problem of multiple descriptions for a Gaussian source is considered, in which all the decoders have access to correlated Gaussian side-information. Two variations of this problem are studied. First, the rate-distortion tradeoff is characterized under the assumption of a common reconstruction constraint, in which the estimate produced at each of the decoders is also exactly recoverable at the encoder. Secondly, a generalization of this setup is studied in which possibly different distortions are tolerable between the estimates at the encoder and the respective estimates at each of the decoders.

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U2 - 10.1109/ISIT.2012.6283486

DO - 10.1109/ISIT.2012.6283486

M3 - Conference contribution

AN - SCOPUS:84867498709

SN - 9781467325790

SP - 1376

EP - 1380

BT - 2012 IEEE International Symposium on Information Theory Proceedings, ISIT 2012

T2 - 2012 IEEE International Symposium on Information Theory, ISIT 2012

Y2 - 1 July 2012 through 6 July 2012

ER -

Gaussian multiple descriptions with common and constrained reconstruction constraints

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