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Asymmetric Multilevel Diversity Coding and Asymmetric Gaussian Multiple Descriptions | IEEE Journals & Magazine | IEEE Xplore

Asymmetric Multilevel Diversity Coding and Asymmetric Gaussian Multiple Descriptions


Abstract:

We consider the asymmetric multilevel diversity (A-MLD) coding problem, where a set of 2K - 1 information sources, ordered in a decreasing level of importance, is encoded...Show More

Abstract:

We consider the asymmetric multilevel diversity (A-MLD) coding problem, where a set of 2K - 1 information sources, ordered in a decreasing level of importance, is encoded into K messages (or descriptions). There are 2K - 1 decoders, each of which has access to a nonempty subset of the encoded messages. Each decoder is required to reproduce the information sources up to a certain importance level depending on the combination of descriptions available to it. We obtain a single letter characterization of the achievable rate region for the 3-description problem. In contrast to symmetric multilevel diversity coding, source-separation coding is not sufficient in the asymmetric case, and ideas akin to network coding need to be used strategically. Based on the intuitions gained in treating the A-MLD problem, we derive inner and outer bounds for the rate region of the asymmetric Gaussian multiple description (MD) problem with three descriptions. Both the inner and outer bounds have a similar geometric structure to the rate region template of the A-MLD coding problem, and, moreover, we show that the gap between them is constant, which results in an approximate characterization of the asymmetric Gaussian three description rate region.
Published in: IEEE Transactions on Information Theory ( Volume: 56, Issue: 9, September 2010)
Page(s): 4367 - 4387
Date of Publication: 16 August 2010

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