Gaussian multiple descriptions with common and constrained reconstruction constraints
Document Type
Conference Proceeding
Publication Date
10-22-2012
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. © 2012 IEEE.
Identifier
84867498709 (Scopus)
ISBN
[9781467325790]
Publication Title
IEEE International Symposium on Information Theory Proceedings
External Full Text Location
https://doi.org/10.1109/ISIT.2012.6283486
First Page
1376
Last Page
1380
Recommended Citation
Tandon, Ravi; Ahmadi, Behzad; Simeone, Osvaldo; and Poor, H. Vincent, "Gaussian multiple descriptions with common and constrained reconstruction constraints" (2012). Faculty Publications. 18064.
https://digitalcommons.njit.edu/fac_pubs/18064
