• DocumentCode
    2289629
  • Title

    Enhancement of stochastic resonance by tuning system parameters and adding noise simultaneously

  • Author

    Wu, Xingxing ; Jiang, Zhong-Ping ; Repperger, Daniel W.

  • Author_Institution
    Dept. of Electr. and Comput. Eng., Polytech. Univ. of Brooklyn, NY
  • fYear
    2006
  • fDate
    14-16 June 2006
  • Abstract
    The stochastic resonance effect can be realized by tuning system parameters or by adding noise. This paper investigates the possibility to enhance the stochastic resonance effect by tuning system parameters and adding noise simultaneously. First, we use examples to demonstrate the situation where only the system parameters or noise can be adjusted to maximize the stochastic resonance effect. Then, it is shown, using standard optimization theory, that the normalized power norm of the bistable double-well system with aperiodic input signal can reach a larger maximal value by tuning the system parameter and adding noise simultaneously. Finally, for the purpose of practical implementation, searching for the optimal system parameter and noise intensity is realized by an on-line fast-converging optimization algorithm
  • Keywords
    nonlinear dynamical systems; optimisation; resonance; signal processing; stability; stochastic processes; tuning; aperiodic input signal; bistable double-well system; noise adding; noise intensity; optimization; signal processing; stochastic resonance effect; system parameter tuning; Biomedical measurements; Estimation; Mutual information; Noise measurement; Signal detection; Signal processing; Signal processing algorithms; Signal to noise ratio; Stochastic resonance; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2006
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    1-4244-0209-3
  • Electronic_ISBN
    1-4244-0209-3
  • Type

    conf

  • DOI
    10.1109/ACC.2006.1657196
  • Filename
    1657196