preprint · arXiv (Cornell University) · 2024

Distributed Source Coding Using Constrained-Random-Number Generators

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Abstract

This paper investigates the general distributed lossless/lossy source coding formulated by Jana and Blahut. Their multi-letter rate-distortion region, an alternative to the region derived by Yang and Qin, is characterized by entropy functions for arbitrary general correlated sources. Achievability is shown by constructing a code based on constrained-random number generators.

Cite this paper

APA 7

Muramatsu, J. (2024). Distributed Source Coding Using Constrained-Random-Number Generators. arXiv (Cornell University). https://doi.org/10.48550/arxiv.2401.13232

MLA 9

Muramatsu, Jun. “Distributed Source Coding Using Constrained-Random-Number Generators.” arXiv (Cornell University), 2024, https://doi.org/10.48550/arxiv.2401.13232.

Chicago

Muramatsu, Jun. 2024. “Distributed Source Coding Using Constrained-Random-Number Generators.” arXiv (Cornell University). https://doi.org/10.48550/arxiv.2401.13232.

Harvard

Muramatsu, J. (2024) ‘Distributed Source Coding Using Constrained-Random-Number Generators’, arXiv (Cornell University). Available at: https://doi.org/10.48550/arxiv.2401.13232.

BibTeX

@misc{muramatsu2024distributed,
  title = {{Distributed Source Coding Using Constrained-Random-Number Generators}},
  author = {Muramatsu, Jun},
  journal = {arXiv (Cornell University)},
  year = {2024},
  doi = {10.48550/arxiv.2401.13232}
}

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