小波分析在信号消噪中的应用  

Application of Wavelet Analysis in Elimination Noise of Signal

作　　者：张彤晓[1] 郭西进[1] 

机构地区：[1]中国矿业大学信电学院,江苏徐州221008

出　　处：《苏州科技学院学报（工程技术版）》2005年第1期74-77,共4页Journal of Suzhou University of Science and Technology （Engineering and Technology）

摘　　要：用小波分析进行信号消噪常用多尺度小波变换。多尺度小波变换是将信号分解成高频和低频成分,低频包含信号的主要性能,高频含较多噪声,将高频平滑后再重建即可消噪。消噪处理大致有强制、阈值两种方法。现场试验表明:此方法高效、实用。Based on wavelet analysis, the noise of signal was eliminated with multi-scale wavelet transform. Multi-scale wavelet transform is that the signal is decomposed into high and low frequency elements. The low frequency elements include the main performances of the signal while the high frequency elements consist of more noises. So, reconstructing the signal can be achieved after the high frequency elements are flatted. The means of constraint and threshold value were used to eliminate signal noise. Experiments show that this method has high efficiency and practicality.

关 键 词：小波分析 多尺度小波变换 消噪 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]