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Numerical research of signal-to-noise ratio gain on a monostable stochastic resonance

Wan Pin Li Xue-Cong Wang Yong-Hua Zhan Yi-Ju

Numerical research of signal-to-noise ratio gain on a monostable stochastic resonance

Wan Pin, Li Xue-Cong, Wang Yong-Hua, Zhan Yi-Ju
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  • Received Date:  19 November 2010
  • Accepted Date:  13 December 2010
  • Published Online:  15 April 2011

Numerical research of signal-to-noise ratio gain on a monostable stochastic resonance

  • 1. (1)Faculty of Automation, Guangdong University of Technology, Guangzhou 510006, China; (2)School of Engineering, Sun Yat-Sen University, Guangzhou 510006, China

Abstract: We report a stochastic resonance with the signal-to-noise ratio gain in a monostable system, by the fourth-order Runge-Kutta method, and on some occasions the signal-to-noise ratio gain exceeds 1. Tuning the parameters in the monostable stochastic resonance system can change the signal-to-noise ratio gain. This research result is the latest development of the monostable stochastic resonance, and has potential applications in the signal detection, processing and communications.

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