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Application and detection of weak signal based on stochastic resonance

Xiaojun Mei

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Abstract

The basic principle of stochastic resonance(SR) in weak signal detection was introduced.On the basis of studying nonlinear bistable system,the nonlinear system and its control system circuit were studied.The system can greatly suppress noise and generate signal to adjust noise effect in bistable system.Spectrum analysis in output signal of bistable system can identify the frequency of weak sinusoidal signal concealed in the white noise.The practical application shows that the signal-noise ratio(SNR) can be significantly increased and solving complicated statistical differential equation can be avoided by using the method.It possesses great practical value for application in multi-sensor measurement and early fault detection of mechanical system.

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What this paper is about

The basic principle of stochastic resonance(SR) in weak signal detection was introduced.On the basis of studying nonlinear bistable system,the nonlinear system and its control system circuit were studied.The system can greatly suppress noise and generate signal to adjust noise effect in bistable system.Spectrum analysis in output signal of bistable system can identify the frequency of weak sinusoidal signal concealed in the white noise.The practical application shows that the signal-noise ratio(SNR) can be significantly increased and solving complicated statistical differential equation can be avoided by using the method.It possesses great practical value for application in multi-sensor measurement and early fault detection of mechanical system.

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Available abstract

The basic principle of stochastic resonance(SR) in weak signal detection was introduced.On the basis of studying nonlinear bistable system,the nonlinear system and its control system circuit were studied.The system can greatly suppress noise and generate signal to adjust noise effect in bistable system.Spectrum analysis in output signal of bistable system can identify the frequency of weak sinusoidal signal concealed in the white noise.The practical application shows that the signal-noise ratio(SNR) can be significantly increased and solving complicated statistical differential equation can be avoided by using the method.It possesses great practical value for application in multi-sensor measurement and early fault detection of mechanical system.

Key concepts: Stochastic resonance, Bistability, Signal transfer function, SIGNAL (programming language), Nonlinear system, Control theory (sociology), Noise (video), White noise

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