Title :
New analytical approach to analyze the nonlinear regime of stochastic resonance
Author :
Alexander Dubkov;Bernardo Spagnolo;Davide Valenti
Author_Institution :
Radiophysics Faculty, Lobachevsky State University, Nizhniy Novgorod, Russia
fDate :
6/1/2015 12:00:00 AM
Abstract :
We propose some approximate methods to explore the nonlinear regime of the stochastic resonance phenomenon. These approximations correspond to different truncation schemes of cumulants. We compare the theoretical results for the signal power amplification, obtained by using ordinary cumulant truncation schemes, that is Gaussian and excess approximations, the modified two-state approximation with those obtained by numerical simulations of the Langevin equation describing the dynamics of the system.
Keywords :
"Approximation methods","Noise","Stochastic resonance","Mathematical model","Fluctuations","Probability density function","Electronic mail"
Conference_Titel :
Noise and Fluctuations (ICNF), 2015 International Conference on
DOI :
10.1109/ICNF.2015.7288590