Rate-Distortion Function for a Heegard-Berger Problem with Two Sources and Degraded Reconstruction sets
Meryem Benammar, Abdellatif Zaidi

TL;DR
This paper derives the rate-distortion function for a Heegard-Berger problem with two sources and degraded reconstruction sets, considering lossless and lossy reconstructions with correlated side information.
Contribution
It provides a single-letter characterization of the rate-distortion function for a complex multi-source, multi-decoder setting with degraded reconstruction constraints.
Findings
Single-letter rate-distortion characterization established
Highlights benefits of joint source compression
Generalizes to shared reconstruction constraints
Abstract
In this work, we investigate an instance of the Heegard-Berger problem with two sources and arbitrarily correlated side information sequences at two decoders, in which the reconstruction sets at the decoders are degraded. Specifically, two sources are to be encoded in a manner that one of the two is reproduced losslessly by both decoders, and the other is reproduced to within some prescribed distortion level at one of the two decoders. We establish a single-letter characterization of the rate-distortion function for this model. The investigation of this result in some special cases also sheds light on the utility of joint compression of the two sources. Furthermore, we also generalize our result to the setting in which the source component that is to be recovered by both users is reconstructed in a lossy fashion, under the requirement that all terminals (i.e., the encoder and both…
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Taxonomy
TopicsWireless Communication Security Techniques · Cellular Automata and Applications · Coding theory and cryptography
