Correcting Errors Through Partitioning and Burst-Deletion Correction

Fuente: arXiv
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Autores principales: Sun, Yubo, Ge, Gennian
Formato: Preprint
Publicado: 2025
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author Sun, Yubo
Ge, Gennian
author_facet Sun, Yubo
Ge, Gennian
contents In this paper, we propose a partitioning technique that decomposes a pair of sequences with overlapping $t$-deletion $s$-substitution balls into sub-pairs, where the $^{\leq}t$-burst-deletion balls of each sub-pair intersect. This decomposition facilitates the development of $t$-deletion $s$-substitution correcting codes that leverage approaches from $^{\leq}t$-burst-deletion correction. Building upon established approaches in the $^{\leq}t$-burst-deletion correction domain, we construct $t$-deletion $s$-substitution correcting codes for $t\in \{1,2\}$ over binary alphabets and for $t=1$ in non-binary alphabets, with some constructions matching existing results and others outperforming current methods. Our framework offers new insights into the underlying principles of prior works, elucidates the limitations of current approaches, and provides a unified perspective on error correction strategies.
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id arxiv_https___arxiv_org_abs_2506_07609
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publishDate 2025
record_format arxiv
spellingShingle Correcting Errors Through Partitioning and Burst-Deletion Correction
Sun, Yubo
Ge, Gennian
Information Theory
In this paper, we propose a partitioning technique that decomposes a pair of sequences with overlapping $t$-deletion $s$-substitution balls into sub-pairs, where the $^{\leq}t$-burst-deletion balls of each sub-pair intersect. This decomposition facilitates the development of $t$-deletion $s$-substitution correcting codes that leverage approaches from $^{\leq}t$-burst-deletion correction. Building upon established approaches in the $^{\leq}t$-burst-deletion correction domain, we construct $t$-deletion $s$-substitution correcting codes for $t\in \{1,2\}$ over binary alphabets and for $t=1$ in non-binary alphabets, with some constructions matching existing results and others outperforming current methods. Our framework offers new insights into the underlying principles of prior works, elucidates the limitations of current approaches, and provides a unified perspective on error correction strategies.
title Correcting Errors Through Partitioning and Burst-Deletion Correction
topic Information Theory
url https://arxiv.org/abs/2506.07609