Quick search for rare events through adaptive group sampling

Ali Tajer, H. Vincent Poor

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

1 Scopus citations

Abstract

Rare events can potentially occur in many applications and when they model transient opportunities or costly risks should be detected quickly. Due to their sporadic nature, the information-bearing signals associated with rare events often lie in a large set of irrelevant signals and are not easily accessible. This paper provides a sequential search framework that initially takes rough mixed measurements from a group of events. The groups of events that are deemed to be including one or more rare events are retained for further scrutiny and the individual events in such groups are processed sequentially in order to identify a rare event with the shortest delay. Particular focus is placed on Gaussian signals with the aim of detecting signals with rare mean and variance values.

Original languageEnglish (US)
Title of host publicationConference Record of the 47th Asilomar Conference on Signals, Systems and Computers
PublisherIEEE Computer Society
Pages757-761
Number of pages5
ISBN (Print)9781479923908
DOIs
StatePublished - Jan 1 2013
Event2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 3 2013Nov 6 2013

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other2013 47th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/3/1311/6/13

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

Keywords

  • Group sampling
  • quick
  • rare
  • search
  • sequential

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  • Cite this

    Tajer, A., & Poor, H. V. (2013). Quick search for rare events through adaptive group sampling. In Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers (pp. 757-761). [6810386] (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2013.6810386