2007Acta Physica SinicaOpen access

Frequency matching method for stochastic resonance control

Lin Min, Mao Qian-Min, Zheng Yong-Jun, Dongsheng Li, 中国计量学院计量技术工程学院,杭州 310018

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Abstract

A frequency matching method for stochastic resonance control is presented on the assumption that stochastic synchronization of stochastic resonance will be generated when the nonlinear bistable system is stimulated by noise and weak periodic signal. Theoretical analysis and numerical simulation show that stochastic resonance can be controlled. Not only the frequency range of stochastic resonance can be broadened, but also the intensity of stochastic resonance can be strengthened by controlling the frequency of the input signal and statistical characteristics of noise, resulting in more noise energy being converted into signal energy.

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What this paper is about

A frequency matching method for stochastic resonance control is presented on the assumption that stochastic synchronization of stochastic resonance will be generated when the nonlinear bistable system is stimulated by noise and weak periodic signal. Theoretical analysis and numerical simulation show that stochastic resonance can be controlled. Not only the frequency range of stochastic resonance can be broadened, but also the intensity of stochastic resonance can be strengthened by controlling the frequency of the input signal and statistical characteristics of noise, resulting in more noise energy being converted into signal energy.

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Available abstract

A frequency matching method for stochastic resonance control is presented on the assumption that stochastic synchronization of stochastic resonance will be generated when the nonlinear bistable system is stimulated by noise and weak periodic signal. Theoretical analysis and numerical simulation show that stochastic resonance can be controlled. Not only the frequency range of stochastic resonance can be broadened, but also the intensity of stochastic resonance can be strengthened by controlling the frequency of the input signal and statistical characteristics of noise, resulting in more noise energy being converted into signal energy.

Key concepts: Stochastic resonance, Bistability, Noise (video), Nonlinear resonance, Resonance (particle physics), SIGNAL (programming language), Stochastic process, Energy (signal processing)

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