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提出了调制随机共振方法,实现了在大参数条件下从强噪声中检测微弱周期信号.将混于噪声中的较高频率的弱信号经调制变为一差频的低频信号作用于随机共振体系,该低频信号满足绝热近似理论,因而能产生随机共振;再经解调可获得埋于噪声中的原较高频率的弱信号.对埋于噪声中的未知频率,可采用连续改变调制振荡器的频率,以获得一个适当的差频信号输入到随机共振体系,根据输出信号共振谱峰的变化经解调而得待检弱信号的未知频率.该方法应具有较高的应用前景.
A stochastic resonance method is proposed to detect weak periodic signals from strong noises under the condition of large parameters.The weak signals with higher frequencies mixed with noise are transformed into a low frequency signal with a difference frequency to act on the stochastic resonance system , The low-frequency signal to meet the adiabatic approximation theory, which can produce stochastic resonance; and then by demodulation can be buried in the original signal of the higher frequency of the weak signal buried in the unknown frequency of the noise can be used to continuously change the modulation oscillator To obtain an appropriate difference frequency signal input to the stochastic resonance system, and according to the change of the resonance peak of the output signal is demodulated to obtain the unknown frequency of the signal to be weaken.This method should have a higher application prospect.