Blind Group Testing

Wasim Huleihel, Ohad Elishco, Muriel Medard

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

Abstract

The main goal in group testing is to recover a small subset of defective items from a larger population, while efficiently reducing the total number of (possibly noisy) required tests/measurements. In this paper, we analyze the fundamental limits of a general noisy group testing problem when the channel law is unknown. Specifically, we obtain sufficient conditions on the number of tests required for exact recovery using two decoders; the first is based on joint-decoding (inefficient), and the second is a based on separate-decoding (efficient). We show that in several scenarios, our decoders achieve the same performance as if the channel was known, implying that the proposed decoders are robust/universal.

Original languageEnglish
Title of host publication2018 IEEE International Symposium on Information Theory, ISIT 2018
PublisherInstitute of Electrical and Electronics Engineers
Pages2594-2598
Number of pages5
ISBN (Print)9781538647806
DOIs
StatePublished - 15 Aug 2018
Externally publishedYes
Event2018 IEEE International Symposium on Information Theory, ISIT 2018 - Vail, United States
Duration: 17 Jun 201822 Jun 2018

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2018-June
ISSN (Print)2157-8095

Conference

Conference2018 IEEE International Symposium on Information Theory, ISIT 2018
Country/TerritoryUnited States
CityVail
Period17/06/1822/06/18

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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