Source Coding Problems With Conditionally Less Noisy Side Information
Identifieur interne : 005C25 ( PascalFrancis/Curation ); précédent : 005C24; suivant : 005C26Source Coding Problems With Conditionally Less Noisy Side Information
Auteurs : Roy Timo [Australie] ; Tobias J. Oechtering [Suède] ; Michèle Wigger [France]Source :
- IEEE transactions on information theory [ 0018-9448 ] ; 2014.
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Abstract
A computable expression for Heegard and Berger's rate-distortion function has eluded information theory for nearly three decades. Heegard and Berger's single-letter achievability bound is well known to be optimal for physically degraded side information; however, it is not known whether the bound is optimal for arbitrarily correlated side information (general discrete memoryless sources). In this paper, we consider a new setup where the side information at one receiver is conditionally less noisy than that at the other. The new setup includes degraded side information as a special case, and it is motivated by the literature on degraded and less noisy broadcast channels. Our key contribution is a converse proving the optimality of Heegard and Berger's achievability bound in a new setting, where the side information is conditionally less noisy and one distortion function is deterministic. The less noisy setup is also generalized to two different successive-refinement problems.
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