A1 Refereed original research article in a scientific journal
The Levenshtein’s Sequence Reconstruction Problem and the Length of the List
Authors: Junnila Ville, Laihonen Tero, Lehtilä Tuomo
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2024
Journal: IEEE Transactions on Information Theory
Journal name in source: IEEE Transactions on Information Theory
Volume: 70
Issue: 2
First page : 1050
Last page: 1066
eISSN: 1557-9654
DOI: https://doi.org/10.1109/TIT.2023.3318354
Web address : https://ieeexplore.ieee.org/document/10261297
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/181481576
In the paper, the Levenshtein’s sequence reconstruction problem is considered in the case where the transmitted words are chosen from an e -error-correcting code, at most t substitution errors occur in each of the N channels and the decoder outputs a list of length L . Previously, when t = e + ℓ and the transmitted word is long enough, the numbers of required channels were determined for L = 1, 2 and ℓ+1. Here we determine the exact number of channels in the cases L = 3,4,..., ℓ. This also provides the size of the largest intersection of L balls of radius t (with respect to substitutions) centered at the words with mutual Hamming distances at least 2 e + 1. Furthermore, with the aid of covering codes, we also consider the list sizes in the cases where the length n is rather small (improving previously known results). After that we study how much we can decrease the number of required channels when we use list-decoding codes. Finally, the majority algorithm is discussed for decoding in a probabilistic set-up; in particular, we show that the output word of the decoder can be verified to be the transmitted one with high probability.
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