Pointwise Redundancy in One-Shot Lossy Compression via Poisson Functional Representation

Fuente: arXiv
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Main Author: Li, Cheuk Ting
Format: Preprint
Published: 2024
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author Li, Cheuk Ting
author_facet Li, Cheuk Ting
contents We study different notions of pointwise redundancy in variable-length lossy source coding. We present a construction of one-shot variable-length lossy source coding schemes using the Poisson functional representation, and give bounds on its pointwise redundancy for various definitions of pointwise redundancy. This allows us to describe the distribution of the encoding length in a precise manner. We also generalize the result to the one-shot lossy Gray-Wyner system.
format Preprint
id arxiv_https___arxiv_org_abs_2401_14805
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Pointwise Redundancy in One-Shot Lossy Compression via Poisson Functional Representation
Li, Cheuk Ting
Information Theory
We study different notions of pointwise redundancy in variable-length lossy source coding. We present a construction of one-shot variable-length lossy source coding schemes using the Poisson functional representation, and give bounds on its pointwise redundancy for various definitions of pointwise redundancy. This allows us to describe the distribution of the encoding length in a precise manner. We also generalize the result to the one-shot lossy Gray-Wyner system.
title Pointwise Redundancy in One-Shot Lossy Compression via Poisson Functional Representation
topic Information Theory
url https://arxiv.org/abs/2401.14805