摘要
在简要介绍小波变换概念及特点的基础上,提出根据有用信号和噪声信号小波变换的不同特点,结合Mallat 分解与重构算法,对信号进行小波变换分析的方法.通过对一受噪声污染的正弦信号的检测可知,选取合适的基小波和分解层次,能有效的实现信噪分离。
Based on the brief introduction of wavelet transform and its characteristic,combined with Mallat decomposi- tion and reconstruction algorithm.a novel detection method is proposed.According to the difference between the wave- let transform of useful signal and noise signal.de-noising and detection of signal can be achieved.Suppose a sine wave is contaminated.through the selection of basic wavelet and decomposition level.de-noising can be done effectively.
出处
《弹箭与制导学报》
CSCD
北大核心
2005年第S8期554-556,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
空军工程大学学术(联合)基金(KGD-XL-02-2004-02)
