Distributed Source Coding, Multiple Description Coding, and Source Coding with Side Information at Decoders Using Constrained-Random Number Generators
Information Theory
2024-10-28 v2 math.IT
Abstract
This paper investigates a unification of distributed source coding, multiple description coding, and source coding with side information at decoders. The equivalence between the multiple-decoder extension of distributed source coding with decoder side information and the multiple-source extension of multiple description coding with decoder side information is clarified. Their multi-letter rate-distortion region for arbitrary general correlated sources is characterized in terms of entropy functions. We construct a code based on constrained-random number generators and show its achievability.
Cite
@article{arxiv.2410.07939,
title = {Distributed Source Coding, Multiple Description Coding, and Source Coding with Side Information at Decoders Using Constrained-Random Number Generators},
author = {Jun Muramatsu},
journal= {arXiv preprint arXiv:2410.07939},
year = {2024}
}
Comments
42 pages, a part of this paper (Section V and IV-B and some appendices) inherits the contents from arXiv:2401.13232[cs.IT], (v2) fixed typos