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Codes Correcting Two Bursts of Exactly $b$ Deletions
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abstract
In this paper, we investigate codes designed to correct two bursts of deletions, where each burst has a length of exactly $b$, where $b>1$. The previous best construction, achieved through the syndrome compression technique, had a redundancy of at most $7\log n+O\left(\log n/\log\log n\right)$ bits. In contrast, our work introduces a novel approach for constructing $q$-ary codes that attain a redundancy of at most $5\log n+O(\log\log n)$ bits for all $b>1$ and $q\ge2$. Additionally, for the case where $b=1$, we present a new construction of $q$-ary two-deletion correcting codes with a redundancy of $5\log n+O(\log\log n)$ bits, for all $q>2$.
Forward citations
Cited by 5 Pith papers
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On the Maximum Size of Codes Under the Damerau-Levenshtein Metric
For codes correcting constant numbers of deletions, insertions, substitutions, and adjacent transpositions, maximum size is at most C q^n / n^t, proving redundancy at least t log n minus O(1).
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Correcting Bursty/Localized Deletions: A New Error-Position-Estimation Code
New q-ary codes correcting bursts or localized deletions achieve redundancy log n + (t-1) log log n + O(1) when t < 2q, improving on prior best constructions.
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Correcting Errors Through Partitioning and Burst-Deletion Correction
A partitioning theorem reduces t-deletion plus s-substitution correction to burst-deletion correction, yielding VT-based codes that match or slightly improve known redundancy bounds.
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Binary Reconstruction Codes for Correcting One Deletion and One Substitution
For binary reconstruction codes correcting one deletion and one substitution, redundancy 0, 1, 2, log log n+3, log n+1, and 3 log n+4 suffice when the number of reads N is 4n−8, 3n−4, 2n+9, n+21, 31, and 7, respectively.
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Sequence Reconstruction under Channels with Multiple Bursts of Insertions or Deletions
For channels with multiple bursts of insertions or deletions of exact length b, the paper gives exact minimum read numbers: a complete formula for insertions and a binary-alphabet formula for deletions.
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