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Mathematical modeling of stochastic resonance systems

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dc.contributor.authorArlı, A. Çağrı
dc.contributor.authorGazi, Orhan
dc.contributor.authorID102896tr_TR
dc.date.accessioned2022-06-17T12:18:00Z
dc.date.available2022-06-17T12:18:00Z
dc.date.issued2018
dc.departmentÇankaya Üniversitesi, Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği Bölümüen_US
dc.description.abstractKnowledge of at which condition in a nonlinear threshold system stochastic resonance phenomena occurs, can be important in noise introduced threshold systems. A new method for mathematical modeling of stochastic resonance systems is introduced. The proposed approach can be used for the modeling of many other phenomenons. It's shown that using the mathematical model developed for stochastic resonance systems it's possible to estimate the optimum noise variances necessary for the occurrence of the stochastic resonance. The accuracy of the estimated noise variances are verified by the simulation results. © 2018 IEEE.en_US
dc.identifier.citationArlı, A. Çağrı; Gazi, Orhan (2018). "Mathematical modeling of stochastic resonance systems", 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, İzmir, 2 May 2018 through 5 May 2018, pp. 1-4.en_US
dc.identifier.doi10.1109/SIU.2018.8404756
dc.identifier.endpage4en_US
dc.identifier.isbn9781538615010
dc.identifier.startpage1en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12416/5652
dc.language.isoenen_US
dc.relation.ispartof26th IEEE Signal Processing and Communications Applications Conference, SIU 2018en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNonlinear Systemsen_US
dc.subjectStochastic Resonanceen_US
dc.subjectWeak Signal Detectionen_US
dc.titleMathematical modeling of stochastic resonance systemstr_TR
dc.titleMathematical Modeling of Stochastic Resonance Systemsen_US
dc.title.alternativeStokastik Rezonans Sistemlerinin Matematiksel Modellenmesien_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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