Noise enhanced hypothesis-testing according to restricted Neyman-Pearson criterion

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dc.authoridBayram, Suat/0000-0001-9464-9692
dc.contributor.authorBayram, Suat
dc.contributor.authorGultekin, San
dc.contributor.authorGezici, Sinan
dc.date.accessioned2025-10-24T18:09:00Z
dc.date.available2025-10-24T18:09:00Z
dc.date.issued2014
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractNoise enhanced hypothesis-testing is studied according to the restricted Neyman-Pearson (NP) criterion. First, a problem formulation is presented for obtaining the optimal probability distribution of additive noise in the restricted NP framework. Then, sufficient conditions for improvability and nonimprovability are derived in order to specify if additive noise can or cannot improve detection performance over scenarios in which no additive noise is employed. Also, for the special case of a finite number of possible parameter values under each hypothesis, it is shown that the optimal additive noise can be represented by a discrete random variable with a certain number of point masses. In addition, particular improvability conditions are derived for that special case. Finally, theoretical results are provided for a numerical example and improvements via additive noise are illustrated. (C) 2013 Elsevier Inc. All rights reserved.
dc.identifier.doi10.1016/j.dsp.2013.10.014
dc.identifier.endpage27
dc.identifier.issn1051-2004
dc.identifier.issn1095-4333
dc.identifier.scopus2-s2.0-84892367327
dc.identifier.scopusqualityQ1
dc.identifier.startpage17
dc.identifier.urihttps://doi.org/10.1016/j.dsp.2013.10.014
dc.identifier.urihttps://hdl.handle.net/20.500.12899/3410
dc.identifier.volume25
dc.identifier.wosWOS:000330259400002
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherAcademic Press Inc Elsevier Science
dc.relation.ispartofDigital Signal Processing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20251023
dc.subjectDetection; Composite hypothesis; Noise benefits; Stochastic resonance; Restricted Neyman-Pearson
dc.titleNoise enhanced hypothesis-testing according to restricted Neyman-Pearson criterion
dc.typeArticle

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