Stochastic resonance in a periodic potential system driven by cross-correlated noises and periodic signal

被引：5
|
作者：
Guo, Yongfeng [1 ]
Lou, Xiaojuan [1 ]
Dong, Qiang [1 ]
Wang, Linjie [1 ]
机构：
[1] Tiangong Univ, Sch Math Sci, Tianjin 300387, Peoples R China
来源：
INTERNATIONAL JOURNAL OF MODERN PHYSICS B | 2019年 / 33卷 / 28期
基金：
中国国家自然科学基金;
关键词：
Cross-correlated noises; periodic potential system; signal-to-noise ratio; SR; RUNGE-KUTTA ALGORITHMS; KINETIC-MODEL DRIVEN;
D O I：
10.1142/S0217979219503387
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
In this paper, the stochastic resonance (SR) in a periodic potential system driven by cross-correlated noises and periodic signal is investigated. The signal-to-noise ratio (SNR) is used to characterize the SR. Using the algorithm of fourth-order Runge-Kutta, we obtain the curves of SNR for different parameters. The effects of some system parameters, additive Gaussian white noise and multiplicative Gaussian colored noise intensity on SR are characterized by analyzing SNR curves. When increasing system parameter and noise cross-correlation strength in SNR-D, the SR of the system can be enhanced. However, the SR will be weakened by increasing other parameters. Otherwise, the phenomena in SNR-Q are opposite to in SNR-D when increasing signal amplitude and correlation time.
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页数：13
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