Noise enhanced detection in restricted Neyman-Pearson framework

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buir.contributor.authorGezici, Sinan
dc.citation.epage579en_US
dc.citation.spage575en_US
dc.contributor.authorBayram, S.en_US
dc.contributor.authorGültekin, Sanen_US
dc.contributor.authorGezici, Sinanen_US
dc.coverage.spatialÇeşme, Turkeyen_US
dc.date.accessioned2016-02-08T12:12:19Z
dc.date.available2016-02-08T12:12:19Z
dc.date.issued2012-06en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionConference Name: 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), IEEE 2012
dc.descriptionDate of Conference: 17-20 June 2012
dc.description.abstractNoise enhanced detection is studied for binary composite hypothesis-testing problems in the presence of prior information uncertainty. The restricted Neyman-Pearson (NP) framework is considered, and a formulation is obtained for the optimal additive noise that maximizes the average detection probability under constraints on worst-case detection and false-alarm probabilities. In addition, sufficient conditions are provided to specify when the use of additive noise can or cannot improve performance of a given detector according to the restricted NP criterion. A numerical example is presented to illustrate the improvements obtained via additive noise. © 2012 IEEE.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:12:19Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2012en
dc.identifier.doi10.1109/SPAWC.2012.6292975en_US
dc.identifier.urihttp://hdl.handle.net/11693/28144en_US
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SPAWC.2012.6292975en_US
dc.source.title13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), IEEE 2012en_US
dc.subjectBinary hypothesis-testingen_US
dc.subjectNeyman-Pearsonen_US
dc.subjectNoise enhanced detectionen_US
dc.subjectBinary compositesen_US
dc.subjectDetection probabilitiesen_US
dc.subjectNumerical exampleen_US
dc.subjectPrior informationen_US
dc.subjectSpectrum sensingen_US
dc.subjectSufficient conditionsen_US
dc.subjectAdditive noiseen_US
dc.subjectSignal processingen_US
dc.subjectWireless telecommunication systemsen_US
dc.subjectDetectorsen_US
dc.titleNoise enhanced detection in restricted Neyman-Pearson frameworken_US
dc.typeConference Paperen_US

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