Parameter-induced aperiodic stochastic resonance in the presence of multiplicative noise and additive noise

被引：19
|
作者：
Xu, BH [1 ]
Li, JL
Zheng, JY
机构：
[1] Zhejiang Univ, Dept Mech, State Key Lab Fluid Power Transmiss & Control, Hangzhou 310027, Peoples R China
[2] Zhejiang Univ, Inst Chem Proc Equipment, Hangzhou 310027, Peoples R China
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2004年 / 343卷
基金：
中国国家自然科学基金;
关键词：
parameter-induced stochastic resonance; multiplicative noise; dynamical probability density; bit error rate;
D O I：
10.1016/j.physa.2004.06.149
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
Parameter-induced aperiodic stochastic resonance (SR) in the presence of multiplicative and additive noise is investigated in detail. Using theoretical and numerical analysis, we evaluate the dynamical probability density, by which the bit error rate is defined as a quantity to optimize in the aperiodic SR problem via tuning the system parameters. Tuning the system parameters includes two cases: one is parameter-optimized and the other is parameter-induced SR. To distinguish them, we use the conventional method in which SR is realized by varying the noise intensity. Essentially, parameter-induced SR is based on the cooperative effect between the stochastic-subjected dynamical system and the input signal by changing the intrinsic characteristic of the nonlinear system via tuning the system parameters, rather than by adding noise. The theory is tested against numerical simulations. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码：156 / 166
页数：11
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