Mathematical Modeling of Stochastic Resonance Systems
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Date
2018
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Ieee
Open Access Color
Green Open Access
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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.
Description
Aselsan; et al.; Huawei; IEEE Signal Processing Society; IEEE Turkey Section; Netas
Keywords
Weak Signal Detection, Stochastic Resonance, Nonlinear Systems
Fields of Science
0103 physical sciences, 02 engineering and technology, 0210 nano-technology, 01 natural sciences
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.
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N/A
Source
26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY
Volume
Issue
Start Page
1
End Page
4
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Scopus : 2
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Mendeley Readers : 4
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2
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