强噪声背景下的微弱信号的识别技术研究  

The application of stochastic resonancefor weak signal extraction from strong noise

作　　者：蔡锦恩[1] 赵文礼[1] 魏翠琴[1] 

机构地区：[1]杭州电子科技大学机电工程学院,浙江杭州310018

出　　处：《机械》2005年第6期3-4,19,共3页Machinery

基　　金：浙江省自然科学基金资助项目(No.502144)

摘　　要：噪声一般被人们当作有害杂质要想办法过滤;然而在特定的非线性系统中,噪声会变成有用成分,在一定的条件下大大提高输出的信噪比。这一现象就是随机共振。在前人研究的基础上,对基于随机共振弱信号检测作了简要的介绍。Noise is usually considered a nuisanse. But in certain nonlinear systems, it will help for increasing SNR on some conditions. This phenomenon, called stochastic resonance. This paper will introduce detection of weak signal based of stochastic resonance behind others, and try to solve how to practice this theory.

关 键 词：随机共振 弱信号 朗之万方程 数值仿真 

分 类 号：TN911[电子电信—通信与信息系统]