Vector Quantization with Error Uniformly Distributed over an Arbitrary Set

Fuente: arXiv
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Autori principali: Ling, Chih Wei, Li, Cheuk Ting
Natura: Preprint
Pubblicazione: 2023
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author Ling, Chih Wei
Li, Cheuk Ting
author_facet Ling, Chih Wei
Li, Cheuk Ting
contents For uniform scalar quantization, the error distribution is approximately a uniform distribution over an interval (which is also a 1-dimensional ball). Nevertheless, for lattice vector quantization, the error distribution is uniform not over a ball, but over the basic cell of the quantization lattice. In this paper, we construct vector quantizers with periodic properties, where the error is uniformly distributed over the n-ball, or any other prescribed set. We then prove upper and lower bounds on the entropy of the quantized signals. We also discuss how our construction can be applied to give a randomized quantization scheme with a nonuniform error distribution.
format Preprint
id arxiv_https___arxiv_org_abs_2305_06788
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Vector Quantization with Error Uniformly Distributed over an Arbitrary Set
Ling, Chih Wei
Li, Cheuk Ting
Information Theory
For uniform scalar quantization, the error distribution is approximately a uniform distribution over an interval (which is also a 1-dimensional ball). Nevertheless, for lattice vector quantization, the error distribution is uniform not over a ball, but over the basic cell of the quantization lattice. In this paper, we construct vector quantizers with periodic properties, where the error is uniformly distributed over the n-ball, or any other prescribed set. We then prove upper and lower bounds on the entropy of the quantized signals. We also discuss how our construction can be applied to give a randomized quantization scheme with a nonuniform error distribution.
title Vector Quantization with Error Uniformly Distributed over an Arbitrary Set
topic Information Theory
url https://arxiv.org/abs/2305.06788