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Mathematical Modeling of Stochastic Resonance Systems

dc.contributor.author Gazi, Orhan
dc.contributor.author Arli, A. Cagri
dc.date.accessioned 2022-06-17T12:18:00Z
dc.date.accessioned 2025-09-18T15:44:25Z
dc.date.available 2022-06-17T12:18:00Z
dc.date.available 2025-09-18T15:44:25Z
dc.date.issued 2018
dc.description Aselsan; et al.; Huawei; IEEE Signal Processing Society; IEEE Turkey Section; Netas en_US
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. en_US
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. en_US
dc.identifier.doi 10.1109/SIU.2018.8404756
dc.identifier.isbn 9781538615010
dc.identifier.issn 2165-0608
dc.identifier.scopus 2-s2.0-85050808145
dc.identifier.uri https://doi.org/10.1109/SIU.2018.8404756
dc.identifier.uri https://hdl.handle.net/20.500.12416/14269
dc.language.iso en en_US
dc.publisher Ieee en_US
dc.relation.ispartof 26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY en_US
dc.relation.ispartofseries Signal Processing and Communications Applications Conference
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Weak Signal Detection en_US
dc.subject Stochastic Resonance en_US
dc.subject Nonlinear Systems en_US
dc.title Mathematical Modeling of Stochastic Resonance Systems en_US
dc.title Mathematical modeling of stochastic resonance systems tr_TR
dc.type Conference Object en_US
dspace.entity.type Publication
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gdc.author.wosid Arli, Ahmet/Aab-9644-2019
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gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Arli, A. Cagri; Gazi, Orhan] Cankaya Univ, Elekt & Haberlesme Muhendisligi, Ankara, Turkey en_US
gdc.description.endpage 4 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.startpage 1 en_US
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
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gdc.oaire.sciencefields 0210 nano-technology
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gdc.virtual.author Gazi, Orhan
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