中文摘要：

不是所有类型的微弱信号经随机共振系统处理后都能被有效识别,因为随机共振的信号处理方法由于系统的跃迁和非线性等因素,会使系统输出波形相对于原信号产生一定程度的畸变,势必影响对原微弱信号的识别。本文首先从随机共振动力学机理的角度逐一分析了单频正弦信号、混频信号及非周期方波等信号的随机共振系统处理过程,然后结合随机共振系统自身的输出特性分析了对于不同类型信号检测的适应性问题。研究认为,随机共振作为一种信号处理方法,其本质是属于时域的,它的＂两态输出＂特性使之更适合于识别各类单周期微弱信号的周期特征,而系统的跃迁特性能用于大致地展示具有＂两态特征＂的非周期连续微弱信号。

英文摘要：

The method of stochastic resonance （SR） is often used to pick out the weak signal submerged in noisy backgrounck But the output signal of SR system can be severely distorted relative to the input, which can cause some difficulty in signal recognition. The SR procession of three types of signal such as single sinusoidal signal, mixing signal and square wave are analyzed at first in this paper, and then the detection adaptability is studied according to the output property of SR systern. Analysis of the result indicates that SP, as a signal processing method, belongs to time domain, and its two-state-output property means this processing method is especially suitable for recognizing singly periodic signal. Furthermore, the transition property of SR system can be applied to recover the two-state aperiodic signal masked by heavy noise.