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Stochastic resonance in a bistable system driven by non-gaussian noise and gaussian noise

机译:由非高斯噪声和高斯噪声驱动的双稳态系统中的随机共振

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The stochastic resonance in a bistable system driven by multiplicative non-Gaussian noise and additive Gaussian white noise is studied by using the theory of signal-to-noise ratio. The non-Markovian process is reduced to a Markovian process through a path integral approach and an approximate Fokker-Planck equation is obtained by applying the unified colored noise approximation. The expression of the signal-to-noise ratio is obtained by using the adiabatic limit. The effects of the non-Gaussian parameter p on the stochastic resonance are discussed. It is found that the non-Gaussian noise enhances the stochastic resonance in the case of p>1 and it restrains the stochastic resonance in the case of p<1. The optimal value of resonance noise intensity D decreases with p increasing when the correlative strength λ < 0, however, it increases with p increasing when λ ≥ 0
机译:运用信噪比理论研究了由倍增非高斯噪声和加性高斯白噪声驱动的双稳态系统中的随机共振。通过路径积分法将非马尔可夫过程简化为马尔可夫过程,并通过应用统一的有色噪声近似来获得近似的Fokker-Planck方程。信噪比的表达是通过使用绝热极限来获得的。讨论了非高斯参数p对随机共振的影响。发现在p> 1的情况下,非高斯噪声增强了随机共振,在p <1的情况下,非高斯噪声抑制了随机共振。当相关强度λ<0时,共振噪声强度D的最佳值随p的增加而减小,但是当λ≥0时,其随着p的增加而增大。

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