R&D: New Version of q-ary Varshamov-Tenengolts Codes with More Efficient Encoders, Differential VT Codes and Differential Shifted VT Codes
Look at natural solution in which error detection and correction algorithms are performed directly over q-ary sequences, and for certain cases, codes provide more efficient encoder with lower redundancy than best-known encoder in literature.
This is a Press Release edited by StorageNewsletter.com on January 25, 2024 at 2:00 pmarxiv has published an article written by Tuan Thanh Nguyen, Kui Cai, Science, Mathematics, and Technology Cluster, Singapore University of Technology and Design, Singapore, and Paul H. Siegel, University of California, San Diego, La Jolla, CA 92093, USA.
Abstract: “The problem of correcting deletions and insertions has recently received significantly increased attention due to the DNA-based data storage technology, which suffers from deletions and insertions with extremely high probability. In this work, we study the problem of constructing non-binary burst-deletion/insertion correcting codes. Particularly, for the quaternary alphabet, our designed codes are suited for correcting a burst of deletions/insertions in DNA storage. Non-binary codes correcting a single deletion or insertion were introduced by Tenengolts [1984], and the results were extended to correct a fixed-length burst of deletions or insertions by Schoeny et al. [2017]. Recently, Wang et al. [2021] proposed constructions of non-binary codes of length n, correcting a burst of length at most two for q-ary alphabets with redundancy log n+O(log q log log n) bits, for arbitrary even q. The common idea in those constructions is to convert non-binary sequences into binary sequences, and the error decoding algorithms for the q-ary sequences are mainly based on the success of recovering the corresponding binary sequences, respectively. In this work, we look at a natural solution in which the error detection and correction algorithms are performed directly over q-ary sequences, and for certain cases, our codes provide a more efficient encoder with lower redundancy than the best-known encoder in the literature.“