内噪声作用下的随机共振算法对弱信号的检测  

Detection of Weak Signal by Stochastic Resonance Algorithm in Presence of the Internal Noise

作　　者：吴晓静[1] 郭卫民[1] 蔡文生[1] 潘忠孝[1] 

机构地区：[1]中国科学技术大学化学系,合肥230026

出　　处：《分析化学》2003年第6期678-681,共4页Chinese Journal of Analytical Chemistry

基　　金：国家自然科学基金资助项目 (No .2 0 0 75 0 2 4)

摘　　要：基于随机共振理论提出了一种简便、有效地检测弱信号的方法。在内噪声协同作用下 ,通过调节输入噪声信号的大小能较好地提高系统输出信号的信噪比 ,从而实现检测背景噪声很强的弱信号的目的。Based on the theory of stochastic resonance (SR), a simple and effective algorithm for the detection of weak signal was proposed. It can greatly enhance the signal to noise ratio (SNR) of the output signal by adjusting the amplitude of input signal. With the cooperative of the internal noise, the weak signal detection can be realized. By using the method in the detection of simulated and experimental signals, the results had shown that the method was reasonable.

关 键 词：内噪声 随机共振算法 信号检测 弱信号 信噪比 背景噪声 

分 类 号：O329[理学—一般力学与力学基础]