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It'll probably work out: Improved list-decoding through

  • SUNY Buffalo
  • Carnegie Mellon University

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

8 Scopus citations

Abstract

In this work, we introduce a framework to study the effect of random operations on the combinatorial list decodability of a code. The operations we consider correspond to row and column operations on the matrix obtained from the code by stacking the codewords together as columns. This captures many natural transformations on codes, such as puncturing, folding, and taking subcodes; we show that many such operations can improve the list-decoding properties of a code. There are two main points to this. First, our goal is to advance our (combinatorial) understanding of list-decodability, by understanding what structure (or lack thereof) is necessary to obtain it. Second, we use our more general results to obtain a few interesting corollaries for list decoding.

Original languageEnglish
Title of host publicationITCS 2015 - Proceedings of the 6th Innovations in Theoretical Computer Science
PublisherAssociation for Computing Machinery, Inc
Pages287-296
Number of pages10
ISBN (Electronic)9781450333337
DOIs
StatePublished - Jan 11 2015
Event6th Conference on Innovations in Theoretical Computer Science, ITCS 2015 - Rehovot, Israel
Duration: Jan 11 2015Jan 13 2015

Publication series

NameITCS 2015 - Proceedings of the 6th Innovations in Theoretical Computer Science

Conference

Conference6th Conference on Innovations in Theoretical Computer Science, ITCS 2015
Country/TerritoryIsrael
CityRehovot
Period01/11/1501/13/15

Keywords

  • List decoding
  • Random codes

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