Sequence Reconstruction under Channels with Multiple Bursts of Insertions or Deletions

Fuente: arXiv
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Auteurs principaux: Lan, Zhaojun, Sun, Yubo, Yu, Wenjun, Ge, Gennian
Format: Preprint
Publié: 2025
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author Lan, Zhaojun
Sun, Yubo
Yu, Wenjun
Ge, Gennian
author_facet Lan, Zhaojun
Sun, Yubo
Yu, Wenjun
Ge, Gennian
contents The sequence reconstruction problem involves a model where a sequence is transmitted over several identical channels. This model investigates the minimum number of channels required for the unique reconstruction of the transmitted sequence. Levenshtein established that this number exceeds the maximum size of the intersection between the error balls of any two distinct transmitted sequences by one. In this paper, we consider channels subject to multiple bursts of insertions and multiple bursts of deletions, respectively, where each burst has an exact length of value b. We provide a complete solution for the insertion case while partially addressing the deletion case.
format Preprint
id arxiv_https___arxiv_org_abs_2504_20460
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Sequence Reconstruction under Channels with Multiple Bursts of Insertions or Deletions
Lan, Zhaojun
Sun, Yubo
Yu, Wenjun
Ge, Gennian
Information Theory
The sequence reconstruction problem involves a model where a sequence is transmitted over several identical channels. This model investigates the minimum number of channels required for the unique reconstruction of the transmitted sequence. Levenshtein established that this number exceeds the maximum size of the intersection between the error balls of any two distinct transmitted sequences by one. In this paper, we consider channels subject to multiple bursts of insertions and multiple bursts of deletions, respectively, where each burst has an exact length of value b. We provide a complete solution for the insertion case while partially addressing the deletion case.
title Sequence Reconstruction under Channels with Multiple Bursts of Insertions or Deletions
topic Information Theory
url https://arxiv.org/abs/2504.20460