二次采样用于随机共振从强噪声中提取弱信号的数值研究

Numerical research of twice sampling stochastic resonance for the detection of a weak signal submerged in a heavy Noise

提出了二次采样的随机共振 (SR)技术 ,并利用该技术 ,实现了绝热近似理论在大参数条件下 ,从强噪声中提取弱信号的目标 .为便于应用 ,研究了二次采样随机共振方法在弱信号检测中相关参数之间的关联性 .数值分析表明 ,该法在信号分析方面有着潜在的应用价值 。

A new technique, twice sampling stochastic resonance (SR), is proposed, and with this technique, the goal of detecting a weak signal overwhelmed in a noise is realized under large parameters in terms of the theory of adiabatic elimination. For the purpose of practical applications, the relative parameters are investigated in the detection of a weak signal based on the technique. The numerical simulation shows that the method presented here is of potential value in the signal analysis and is expected to be applied to the practically measured data processing in the future.