Limits to list decoding of insertions and deletions

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

3 Scopus citations

Abstract

List decoding of insertions and deletions in the Levenshtein metric is considered. In this paper, a Johnson-like upper bound on the maximum list size when decoding in the Levenshtein metric is derived. This bound depends only on the length and minimum Levenshtein distance of the code, the length of the received word, and the alphabet size. It shows that polynomial-time list decoding beyond half the Levenshtein distance is possible for many parameters. For example, list decoding of two insertions/deletions with the well-known Varshamov-Tenengolts (VT) codes is feasible. Further, we also show a lower bound on list decoding VT codes and an efficient list decoding algorithm for two insertions/deletions with VT codes.

Original languageEnglish
Title of host publication2017 IEEE International Symposium on Information Theory, ISIT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1948-1952
Number of pages5
ISBN (Electronic)9781509040964
DOIs
StatePublished - 9 Aug 2017
Event2017 IEEE International Symposium on Information Theory, ISIT 2017 - Aachen, Germany
Duration: 25 Jun 201730 Jun 2017

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8095

Conference

Conference2017 IEEE International Symposium on Information Theory, ISIT 2017
Country/TerritoryGermany
CityAachen
Period25/06/1730/06/17

Keywords

  • Deletions
  • Insertions
  • Levenshtein metric
  • List decoding
  • Varshamov-Tenengolts (VT) codes

Fingerprint

Dive into the research topics of 'Limits to list decoding of insertions and deletions'. Together they form a unique fingerprint.

Cite this