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Fair Numerical Algorithm of Coset Cardinality Spectrum for Distributed Arithmetic Coding

As a typical symbol-wise solution of asymmetric Slepian-Wolf coding problem, Distributed Arithmetic Coding (DAC) non-linearly partitions source space into disjoint cosets with unequal sizes. The distribution of DAC coset cardinalities, named the Coset Cardinality Spectrum (CCS), plays an important r...

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Detalles Bibliográficos
Autores principales: Fang, Yong, Yang, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047628/
https://www.ncbi.nlm.nih.gov/pubmed/36981325
http://dx.doi.org/10.3390/e25030437
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author Fang, Yong
Yang, Nan
author_facet Fang, Yong
Yang, Nan
author_sort Fang, Yong
collection PubMed
description As a typical symbol-wise solution of asymmetric Slepian-Wolf coding problem, Distributed Arithmetic Coding (DAC) non-linearly partitions source space into disjoint cosets with unequal sizes. The distribution of DAC coset cardinalities, named the Coset Cardinality Spectrum (CCS), plays an important role in both theoretical understanding and decoder design for DAC. In general, CCS cannot be calculated directly. Instead, a numerical algorithm is usually used to obtain an approximation. This paper first finds that the contemporary numerical algorithm of CCS is theoretically imperfect and does not finally converge to the real CCS. Further, to solve this problem, we refine the original numerical algorithm based on rigorous theoretical analyses. Experimental results verify that the refined numerical algorithm amends the drawbacks of the original version.
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spelling pubmed-100476282023-03-29 Fair Numerical Algorithm of Coset Cardinality Spectrum for Distributed Arithmetic Coding Fang, Yong Yang, Nan Entropy (Basel) Article As a typical symbol-wise solution of asymmetric Slepian-Wolf coding problem, Distributed Arithmetic Coding (DAC) non-linearly partitions source space into disjoint cosets with unequal sizes. The distribution of DAC coset cardinalities, named the Coset Cardinality Spectrum (CCS), plays an important role in both theoretical understanding and decoder design for DAC. In general, CCS cannot be calculated directly. Instead, a numerical algorithm is usually used to obtain an approximation. This paper first finds that the contemporary numerical algorithm of CCS is theoretically imperfect and does not finally converge to the real CCS. Further, to solve this problem, we refine the original numerical algorithm based on rigorous theoretical analyses. Experimental results verify that the refined numerical algorithm amends the drawbacks of the original version. MDPI 2023-03-01 /pmc/articles/PMC10047628/ /pubmed/36981325 http://dx.doi.org/10.3390/e25030437 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fang, Yong
Yang, Nan
Fair Numerical Algorithm of Coset Cardinality Spectrum for Distributed Arithmetic Coding
title Fair Numerical Algorithm of Coset Cardinality Spectrum for Distributed Arithmetic Coding
title_full Fair Numerical Algorithm of Coset Cardinality Spectrum for Distributed Arithmetic Coding
title_fullStr Fair Numerical Algorithm of Coset Cardinality Spectrum for Distributed Arithmetic Coding
title_full_unstemmed Fair Numerical Algorithm of Coset Cardinality Spectrum for Distributed Arithmetic Coding
title_short Fair Numerical Algorithm of Coset Cardinality Spectrum for Distributed Arithmetic Coding
title_sort fair numerical algorithm of coset cardinality spectrum for distributed arithmetic coding
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047628/
https://www.ncbi.nlm.nih.gov/pubmed/36981325
http://dx.doi.org/10.3390/e25030437
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