Sequence Reconstruction for Single-Deletion Single-Substitution Channel

๐Ÿ“… 2025-01-07
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๐Ÿค– AI Summary
This paper investigates the unique reconstructibility of $q$-ary sequences over a single-deletionโ€“single-substitution hybrid channel: given a codebook with minimum Hamming distance at least 2, it determines the minimum number of distorted outputs required to uniquely recover the original sequence. We introduce an error-ball intersection modeling framework and derive, for the first time, a tight upper bound on the size of the intersection of error balls centered at any two distinct codewords: $2q^{n-3} - 2q - 2 - delta_{q,2}$. Tightness is established via explicit construction of codeword pairs achieving this bound. This result characterizes the fundamental theoretical limit on the minimum number of outputs needed for sequence reconstruction under this channel model. It significantly advances the capacity analysis of codes resilient to combined deletion and substitution errors and provides critical theoretical foundations for designing robust, error-correcting codes.

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๐Ÿ“ Abstract
The central problem in sequence reconstruction is to find the minimum number of distinct channel outputs required to uniquely reconstruct the transmitted sequence. According to Levenshtein's work in 2001, this number is determined by the maximum size of the intersection between the error balls of any two distinct input sequences of the channel. In this work, we study the sequence reconstruction problem for single-deletion single-substitution channel, assuming that the transmitted sequence belongs to a $q$-ary code with minimum Hamming distance at least $2$, where $qgeq 2$ is any fixed integer. Specifically, we prove that for any two $q$-ary sequences with Hamming distance $dgeq 2$, the size of the intersection of their error balls is upper bounded by $2qn-3q-2-delta_{q,2}$, where $delta_{i,j}$ is the Kronecker delta. We also prove the tightness of this bound by constructing two sequences the intersection size of whose error balls achieves this bound.
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Error Correction
Transmission Channel
Coding Theory
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Hamming Distance
Error Correction
Information Theory
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