摘要
提出一种去除观测信号中白噪声的新方法.分析了白噪声和一般信号的小波变换系数的不同特点,对Hampel滤波器进行了改进.利用白噪声和一般信号小波变换系数的不同特点,用改进后的滤波器对信号小波变换系数序列进行滤波处理,从而达到降噪的目的.仿真结果表明,滤波算法对不同种类、不同信噪比的信号有很好的降噪效果,尤其适用于强噪声背景下弱信号的检测.
A new de-noising algorithm is proposed. The characteristics of wavelet transform coefficients of general signal and white noise are analyzed. Hampel filter is modified for use in the de-noising algorithm. Taking advantage of the different characteristics of wavelet transform coefficients of white noise and useful signal, the modified filter is used to process the wavelet transform coefficients and reduce the noise in the observed signal. Experimental results show that the de-noising algorithm has good performance for different kinds of signals or different SNR (signal noise ratio), especially in the case of low SNR. So, it is a novel method for the detection of faint signals under a strong noise background.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2003年第6期740-743,共4页
Transactions of Beijing Institute of Technology
基金
云南省省校合作项目(HK0202-08)
