Mathematical modeling of stochastic resonance systems
| dc.authorscopusid | 57202151857 | |
| dc.authorscopusid | 14067353100 | |
| dc.authorwosid | Arli, Ahmet/Aab-9644-2019 | |
| dc.contributor.author | Arli, A. Cagri | |
| dc.contributor.author | Gazi, Orhan | |
| dc.contributor.authorID | 102896 | tr_TR |
| dc.contributor.other | Elektronik ve Haberleşme Mühendisliği | |
| dc.date.accessioned | 2022-06-17T12:18:00Z | |
| dc.date.available | 2022-06-17T12:18:00Z | |
| dc.date.issued | 2018 | |
| dc.department | Çankaya University | en_US |
| dc.department-temp | [Arli, A. Cagri; Gazi, Orhan] Cankaya Univ, Elekt & Haberlesme Muhendisligi, Ankara, Turkey | en_US |
| 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.description.woscitationindex | Conference Proceedings Citation Index - Science | |
| 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.endpage | 4 | en_US |
| dc.identifier.isbn | 9781538615010 | |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.scopus | 2-s2.0-85050808145 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 1 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/SIU.2018.8404756 | |
| dc.identifier.wos | WOS:000511448500609 | |
| dc.identifier.wosquality | N/A | |
| dc.institutionauthor | Gazi, Orhan | |
| 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.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.scopus.citedbyCount | 2 | |
| 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 | tr_TR |
| dc.title | Mathematical Modeling of Stochastic Resonance Systems | en_US |
| dc.type | Conference Object | en_US |
| dc.wos.citedbyCount | 0 | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 9a1d72fb-4471-4591-983a-187d09c97801 | |
| relation.isAuthorOfPublication.latestForDiscovery | 9a1d72fb-4471-4591-983a-187d09c97801 | |
| relation.isOrgUnitOfPublication | 3f3f4ac0-1357-4a67-a7c4-465451ea38db | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 3f3f4ac0-1357-4a67-a7c4-465451ea38db |
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