Generalized Singleton Type Upper Bounds
Hao Chen, Longjiang Qu, Chengju Li, Shanxiang Lyu, Liqing Xu

TL;DR
This paper introduces new upper bounds on the sizes and lengths of various error-correcting codes, including list-decodable, Singleton defect, insertion-deletion, and locally recoverable codes, often surpassing existing bounds for large code lengths.
Contribution
It provides generalized Singleton type upper bounds for multiple code classes, improving upon classical bounds and extending their applicability to insertion-deletion and locally recoverable codes.
Findings
Stronger bounds than Griesmer for large code lengths
New bounds for insertion-deletion codes surpass Singleton bounds
Upper bounds on lengths of optimal locally recoverable codes
Abstract
In this paper, we give upper bounds on the sizes of list-decodable codes in the Hamming metric space from covering codes with the covering radius smaller than or equal to . When the list size is , this gives many new Singleton type upper bounds on the sizes of codes with a given minimum Hamming distance. These upper bounds are stronger than the Griesmer bound when the lengths of codes are large. Some upper bounds on the lengths of general small Singleton defect codes or list-decodable codes attaining the generalized Singleton bound are given. As an application of our generalized Singleton type upper bounds on Hamming metric error-correcting codes, the generalized Singleton type upper bounds on insertion-deletion codes are given, which are much stronger than the direct Singleton bound for insertion-deletion codes when the lengths are large. We also give upper bounds on…
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Taxonomy
TopicsAdvanced biosensing and bioanalysis techniques · DNA and Biological Computing · Advanced Data Storage Technologies
