提升小波变换及其在信号去噪中的应用

doi:10.3969/j.issn.1000-9957.2005.01.010

大连海洋大学学报

2005, Vol. 20

Issue (1): 51-56 DOI: 10.3969/j.issn.1000-9957.2005.01.010

提升小波变换及其在信号去噪中的应用

郭显久,何东钢,吕显强

大连水产学院,信息工程学院,辽宁,大连,

Lifiting wavelet transform and its application in signal de-noising

GUO Xian-jiu,HE Dong-gang,Lu Xian-qiang

School of Information Engineering, Dalian Fisheries Univ., Dalian 116023, China

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摘要介绍了提升方法(lifting 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.

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关键词: 提升方法小波变换 Laurent多项式信号去噪

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.

Key words: lifting scheme wavelet transform laurent polynomial signal de-noising

发布日期: 2016-12-30 期的出版日期: 2005-02-21

中图分类号:

TP301.6

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]. 大连海洋大学学报, 2005, 20(1): 51-56.
GUO Xian-jiu, HE Dong-gang, Lu Xian-qiang. Lifiting wavelet transform and its application in signal de-noising. Journal of Dalian Ocean University, 2005, 20(1): 51-56.

链接本文:

https://xuebao.dlou.edu.cn/CN/10.3969/j.issn.1000-9957.2005.01.010 或 https://xuebao.dlou.edu.cn/CN/Y2005/V20/I1/51

[1]	郭显久. 一种新的基于小波变换的边缘检测算法[J]. 大连海洋大学学报, 2005, 20(2): 158-162.

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