Segmented Reverse Concatenation: A New Approach to Constrained ECC

Ryan Gabrys, Paul H. Siegel, Eitan Yaakobi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work, a new coding scheme called segmented reverse concatenation is described, which generates constrained codes that can also correct a prescribed number of errors. Our codes are basedupon the generalized reverse concatenation method; however, the key difference between our scheme and prior art is that in our scheme the redundancy symbols of the code are able to be partitioned into disjoint segments, each of which requires only a single parity bit to maintain the minimum distance of the code. We consider three potential applications of the new technique, and it is shown that in all three cases our approach improves upon prior art. Our scheme can be applied to many setups, although it is particularly well-suited for scenarios where the constrained encoder has a high information rate.

Original languageEnglish
Title of host publicationProceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020
Pages254-258
Number of pages5
ISBN (Electronic)9784885523304
DOIs
StatePublished - 24 Oct 2020
Event16th International Symposium on Information Theory and its Applications, ISITA 2020 - Virtual, Kapolei, United States
Duration: 24 Oct 202027 Oct 2020

Publication series

NameProceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020

Conference

Conference16th International Symposium on Information Theory and its Applications, ISITA 2020
Country/TerritoryUnited States
CityVirtual, Kapolei
Period24/10/2027/10/20

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems
  • Software
  • Theoretical Computer Science

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