Stochastic Resonance in a Time-Delayed Bistable System Driven by Square-Wave Signal
GUO Feng1, ZHOU Yu-Rong2, ZHANG Yu3
1School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010 2School of Information and Electric Engineering, Panzhihua University, Panzhihua 617000 3College of Economics and Management, Southwest University of Science and Technology, Mianyang 621010
Stochastic Resonance in a Time-Delayed Bistable System Driven by Square-Wave Signal
GUO Feng1, ZHOU Yu-Rong2, ZHANG Yu3
1School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010 2School of Information and Electric Engineering, Panzhihua University, Panzhihua 617000 3College of Economics and Management, Southwest University of Science and Technology, Mianyang 621010
Stochastic resonance in a time-delayed bistable system subject to asymmetric dichotomous noise and multiplicative and additive white noise is investigated. Using small time delay approximation, we obtain the expression of the signal-to-noise ratio (SNR). It is found that the SNR is a non-monotonic function of the delayed times, of the amplitude of the input square-wave signal, as well as of the asymmetry of the dichotomous noise. In addition, the SNR varies non-monotonously with the system parameters, with the intensities of the multiplicative and additive noise, as well as with the correlate rate of the dichotomous noise.
Stochastic resonance in a time-delayed bistable system subject to asymmetric dichotomous noise and multiplicative and additive white noise is investigated. Using small time delay approximation, we obtain the expression of the signal-to-noise ratio (SNR). It is found that the SNR is a non-monotonic function of the delayed times, of the amplitude of the input square-wave signal, as well as of the asymmetry of the dichotomous noise. In addition, the SNR varies non-monotonously with the system parameters, with the intensities of the multiplicative and additive noise, as well as with the correlate rate of the dichotomous noise.
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2010, Vol. 27 
