Decoding algorithms of monotone codes and azinv codes and their unified view

This paper investigates linear-time decoding algorithms for two classes of error-correcting codes. One of the classes is monotone codes which are known as single deletion error-correcting codes, although they are not known to be single substitution error-correcting codes. The other is azinv codes wh...

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Published inDesigns, codes, and cryptography Vol. 90; no. 12; pp. 2893 - 2922
Main Authors Takahashi, Hokuto, Hagiwara, Manabu
Format Journal Article
LanguageEnglish
Published New York Springer US 01.12.2022
Springer Nature B.V
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ISSN0925-1022
1573-7586
DOI10.1007/s10623-021-01004-0

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Abstract This paper investigates linear-time decoding algorithms for two classes of error-correcting codes. One of the classes is monotone codes which are known as single deletion error-correcting codes, although they are not known to be single substitution error-correcting codes. The other is azinv codes which are known as single balanced adjacent deletion error-correcting codes, although they are not known to be single balanced adjacent substitution error-correcting codes. As a result, this paper proposes generalizations of Levenshtein’s decoding algorithm for Levenshtein’s single deletion or single substitution error-correcting codes. This paper points out that it is possible to unify our new two decoding algorithms. Moreover, we provide Python implementations of these algorithms and the graphs of their computational costs at https://github.com/Hokuto496/Decoding_Algorithms_of_monotone_codes_and_azinv_codes .
AbstractList This paper investigates linear-time decoding algorithms for two classes of error-correcting codes. One of the classes is monotone codes which are known as single deletion error-correcting codes, although they are not known to be single substitution error-correcting codes. The other is azinv codes which are known as single balanced adjacent deletion error-correcting codes, although they are not known to be single balanced adjacent substitution error-correcting codes. As a result, this paper proposes generalizations of Levenshtein’s decoding algorithm for Levenshtein’s single deletion or single substitution error-correcting codes. This paper points out that it is possible to unify our new two decoding algorithms. Moreover, we provide Python implementations of these algorithms and the graphs of their computational costs at https://github.com/Hokuto496/Decoding_Algorithms_of_monotone_codes_and_azinv_codes.
This paper investigates linear-time decoding algorithms for two classes of error-correcting codes. One of the classes is monotone codes which are known as single deletion error-correcting codes, although they are not known to be single substitution error-correcting codes. The other is azinv codes which are known as single balanced adjacent deletion error-correcting codes, although they are not known to be single balanced adjacent substitution error-correcting codes. As a result, this paper proposes generalizations of Levenshtein’s decoding algorithm for Levenshtein’s single deletion or single substitution error-correcting codes. This paper points out that it is possible to unify our new two decoding algorithms. Moreover, we provide Python implementations of these algorithms and the graphs of their computational costs at https://github.com/Hokuto496/Decoding_Algorithms_of_monotone_codes_and_azinv_codes .
Author Takahashi, Hokuto
Hagiwara, Manabu
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Cites_doi 10.1109/TIT.2017.2778143
10.1186/1471-2105-14-272
10.1109/TIT.2018.2807480
10.1109/18.971760
10.1109/GLOCOM.2011.6134512
10.1109/ISIT.2016.7541374
10.1109/ISIT.2019.8849783
10.1109/ISIT45174.2021.9517878
10.1109/ISIT.2017.8006867
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Issue 12
Keywords Error-correcting codes
Coding theory
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Decoding algorithm
Insertion/deletion
Balanced adjacent deletion
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SubjectTerms Algorithms
Coding and Information Theory
Computer Science
Cryptology
Decoding
Deletion
Discrete Mathematics in Computer Science
Error correcting codes
Error correction
Special Issue: On Coding Theory and Combinatorics: In Memory of Vera Pless
Substitutes
Title Decoding algorithms of monotone codes and azinv codes and their unified view
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