Correcting bursty and localized deletions using guess & check codes

Serge Kas Hanna, Salim El Rouayheb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We consider the problem of constructing binary codes for correcting deletions that are localized within a certain part of the codeword that is unknown a priori. The model that we study is when δ ≤ w deletions occur in a window of size at most w bits. These δ deletions are not necessarily consecutive, but are restricted to a window of size w. The localized deletions model is a generalization of the bursty model, where all the deleted bits are consecutive. In this work we propose new explicit codes, based on the family of Guess & Check codes [1,2], that can correct, with high probability, δ ≤ w deletions that are localized within a window of size at most w = O (log k), where k is the length of the information message. These codes have deterministic polynomial time encoding and decoding schemes. The redundancy of these codes is c log k + w + 1, where c is a constant representing a code parameter.

Original languageEnglish (US)
Title of host publication55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9-16
Number of pages8
ISBN (Electronic)9781538632666
DOIs
StatePublished - Jul 1 2017
Event55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017 - Monticello, United States
Duration: Oct 3 2017Oct 6 2017

Publication series

Name55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017
Volume2018-January

Other

Other55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017
Country/TerritoryUnited States
CityMonticello
Period10/3/1710/6/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Energy Engineering and Power Technology
  • Control and Optimization

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