Abstract:

Considering the stochastic resonance phenomenon is constrained and influenced by signal amplitude and frequency, noise intensity and system parameters, a fast and effective adaptive adjusting method for stochastic resonance (SR) parameters is proposed. The adaptive adjustment of the sampling frequency and system parameters for the timevarying input signal and noise not only can effectively prevent data overflow in SR process, but also can maintain the best signal processing performance and keep the output signal to noise ratio at the maximum value. Simulation demonstrates the validity of proposed method.

Key words: stochastic resonance, weak signal detection, parameters adaptively adjusti