Stochastic Multi-Resonance in a Linear System Driven by Multiplicative Polynomial Dichotomous Noise
Lu Zhang, Suchuan Zhong, Hao Peng, Maokang Luo
Abstract
Lu Zhang, Suchuan Zhong, Hao Peng, Maokang Luo
Abstract
We investigate stochastic resonance in a linear system subjected to multiplicative noise that is a polynomial function of colored noise. Using the stochastic averaging method, the analytical expression of the output signal-to-noise ratio (SNR) is derived. Theoretical analysis and numerical results show that the output SNR is a nonmonotonic function of both the noise intensity and the correlation rate. Moreover, the phenomoenon of stochastic multi-resonance (SMR) is found, which is not observed in conventional linear systems driven by multiplicative noise with only a linear term.
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We investigate stochastic resonance in a linear system subjected to multiplicative noise that is a polynomial function of colored noise. Using the stochastic averaging method, the analytical expression of the output signal-to-noise ratio (SNR) is derived. Theoretical analysis and numerical results show that the output SNR is a nonmonotonic function of both the noise intensity and the correlation rate. Moreover, the phenomoenon of stochastic multi-resonance (SMR) is found, which is not observed in conventional linear systems driven by multiplicative noise with only a linear term.
Key concepts: Stochastic resonance, Multiplicative function, Polynomial, Multiplicative noise, Noise (video), Applied mathematics, Statistical physics, Computer science