Strict Half-Singleton Bound, Strict Direct Upper Bound for Linear Insertion-Deletion Codes and Optimal Codes
Qinqin Ji, Dabin Zheng, Hao Chen, Xiaoqiang Wang

TL;DR
This paper establishes new upper bounds for linear insertion-deletion codes' error correction capabilities, introduces optimal codes attaining these bounds, and explores their properties in relation to code length and field size.
Contribution
It proposes a strict half-Singleton bound and a stronger direct upper bound for linear insdel codes, and constructs optimal codes that meet these bounds.
Findings
New strict half-Singleton upper bound for linear insdel codes.
Stronger direct upper bound under weak conditions.
Explicit optimal codes achieving the bounds with length independent of field size.
Abstract
Insertion-deletion codes (insdel codes for short) are used for correcting synchronization errors in communications, and in other many interesting fields such as DNA storage, date analysis, race-track memory error correction and language processing, and have recently gained a lot of attention. To determine the insdel distances of linear codes is a very challenging problem. The half-Singleton bound on the insdel distances of linear codes due to Cheng-Guruswami-Haeupler-Li is a basic upper bound on the insertion-deletion error-correcting capabilities of linear codes. On the other hand the natural direct upper bound is valid for any insdel code. In this paper, for a linear insdel code we propose a strict half-Singleton upper bound if does not contain the codeword with all 1s, and a stronger…
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Taxonomy
TopicsDNA and Biological Computing · Advanced biosensing and bioanalysis techniques · Quantum-Dot Cellular Automata
