Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/157154
Title: | Efficiently list-decodable insertion and deletion codes via concatenation | Authors: | Liu, Shu Tjuawinata, Ivan Xing, Chaoping |
Keywords: | Engineering::Computer science and engineering | Issue Date: | 2021 | Source: | Liu, S., Tjuawinata, I. & Xing, C. (2021). Efficiently list-decodable insertion and deletion codes via concatenation. IEEE Transactions On Information Theory, 67(9), 5778-5790. https://dx.doi.org/10.1109/TIT.2021.3096154 | Journal: | IEEE Transactions on Information Theory | Abstract: | In this paper, we consider the list decoding property of codes under insertion and deletion errors (insdel for short). Firstly, we analyse the list decodability of random insdel codes. Our result provides a more complete picture on the list decodability of insdel codes when both insertion and deletion errors happen. Secondly, we construct a family of insdel codes along with their efficient encoding and decoding algorithms through concatenation method which provides a Zyablov-type bound for insdel metric codes. | URI: | https://hdl.handle.net/10356/157154 | ISSN: | 0018-9448 | DOI: | 10.1109/TIT.2021.3096154 | Research Centres: | Nanyang Technopreneurship Center Strategic Centre for Research in Privacy-Preserving Technologies & Systems (SCRIPTS) |
Rights: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TIT.2021.3096154. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | NTC Journal Articles |
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Efficiently List-Decodable Insertion and Deletion Codes via Concatenation_Ivan.pdf | 1.27 MB | Adobe PDF | ![]() View/Open |
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