Systematic Single-Deletion Multiple-Substitution Correcting Codes
Wentu Song, Nikita Polyanskii, Kui Cai, and Xuan He

TL;DR
This paper introduces a new family of systematic codes capable of correcting one deletion and multiple substitutions with reduced redundancy and polynomial encoding/decoding complexity, improving on previous bounds.
Contribution
It presents a novel construction of systematic single-deletion s-substitution correcting codes with asymptotical redundancy bounds and efficient polynomial encoding and decoding algorithms.
Findings
Redundancy at most (3s+4) log n + o(log n)
Encoding complexity is O(n^{s+3})
Decoding complexity is O(n^{s+2})
Abstract
Recent work by Smagloy et al. (ISIT 2020) shows that the redundancy of a single-deletion -substitution correcting code is asymptotically at least , where is the length of the codes. They also provide a construction of single-deletion and single-substitution codes with redundancy . In this paper, we propose a family of systematic single-deletion -substitution correcting codes of length with asymptotical redundancy at most and polynomial encoding/decoding complexity, where is a constant. Specifically, the encoding and decoding complexity of the proposed codes are and , respectively.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDNA and Biological Computing · Advanced biosensing and bioanalysis techniques · Algorithms and Data Compression
