• DocumentCode
    3667178
  • 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
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Noise and Fluctuations (ICNF), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICNF.2015.7288590
  • Filename
    7288590