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提升小波变换及其在信号去噪中的应用
引用本文:郭显久,何东钢,吕显强.提升小波变换及其在信号去噪中的应用[J].大连水产学院学报,2005,20(1):51-56.
作者姓名:郭显久  何东钢  吕显强
作者单位:大连水产学院,信息工程学院,辽宁,大连,116023;大连水产学院,信息工程学院,辽宁,大连,116023;大连水产学院,信息工程学院,辽宁,大连,116023
摘    要:介绍了提升方法(1ifting Scheme)的基本原理,给出了用提升方法构造传统小波的实现方法,并将目前常用的小波转换成提升小波。同时还将提升小波应用到信号去噪中,并进行了数值仿真试验,结果表明,在去噪后信号的信噪比相近的情况下,提升小波与传统小波相比,其优点在于计算简单、编程容易、速度快。

关 键 词:提升方法  小波变换  Laurent多项式  信号去噪
文章编号:1000-9957(2005)01-0051-06

Lifiting wavelet transform and its application in signal de-noising
GUO Xian-jiu,HE Dong-gang,U Xian-qiang.Lifiting wavelet transform and its application in signal de-noising[J].Journal of Dalian Fisheries University,2005,20(1):51-56.
Authors:GUO Xian-jiu  HE Dong-gang  U Xian-qiang
Abstract:In this paper, we will introduce the basic principle of lifting scheme, and present the method of construction of lifting wavelets via traditional wavelets. We use wavelet filters such as Haar, Daubechies series and B-splines to build the lifing wavelets. Lastly we apply the lifting wavelet to signal de-noising. Comparing lifting wavelets with traditional wavelets, while SNR is very similar, the numerical experimental shows that the advantage of lifting wavelets lies on its fast computation with a very simple programme.
Keywords:lifting scheme  wavelet transform  laurent polynomial  signal de-noising
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