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Mathematical modeling of stochastic resonance systems

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dc.contributor.author Arlı, A. Çağrı
dc.contributor.author Gazi, Orhan
dc.date.accessioned 2022-06-17T12:18:00Z
dc.date.available 2022-06-17T12:18:00Z
dc.date.issued 2018
dc.identifier.citation Arlı, 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. tr_TR
dc.identifier.isbn 9781538615010
dc.identifier.uri http://hdl.handle.net/20.500.12416/5652
dc.description.abstract Knowledge 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. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1109/SIU.2018.8404756 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Nonlinear Systems tr_TR
dc.subject Stochastic Resonance tr_TR
dc.subject Weak Signal Detection tr_TR
dc.title Mathematical modeling of stochastic resonance systems tr_TR
dc.title.alternative Stokastik rezonans sistemlerinin matematiksel modellenmesi tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 tr_TR
dc.contributor.authorID 102896 tr_TR
dc.identifier.startpage 1 tr_TR
dc.identifier.endpage 4 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği Bölümü tr_TR


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