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基于提升小波变换的信号降噪及其工程应用
引用本文:孔国杰,张培林,曹建军,杨惠勇. 基于提升小波变换的信号降噪及其工程应用[J]. 计算机工程与应用, 2008, 44(10): 234-237. DOI: 10.3778/j.issn.1002-8331.2008.10.070
作者姓名:孔国杰  张培林  曹建军  杨惠勇
作者单位:军械工程学院,石家庄,050003;军械工程学院,石家庄,050003;南京理工大学,南京,210094
基金项目:国家自然科学基金(the National Natural Science Foundation of China under Grant No.503175157)
摘    要:为了解决炮膛检测中的噪声抑制问题,在讨论提升小波变换基本原理及其特点的基础上,采用提升小波变换的方法构造小波,介绍了基于插值细分法的提升小波,讨论了其降噪原理。通过实验对比研究了不同类型的经典提升小波和插值细分小波的降噪效果以及小波支集与降噪效果之间的关系,为选择降噪小波提供了理论依据。将该结论应用于炮膛检测系统中身管内径测量信号的降噪处理,取得了满意的效果。

关 键 词:降噪  提升小波  插值细分法  炮膛检测
文章编号:1002-8331(2008)10-0234-04
收稿时间:2007-08-07
修稿时间:2007-08-07

Signal denoising based on lifting wavelet transform and its application
KONG Guo-jie,ZHANG Pei-lin,CAO Jian-jun,YANG Hui-yong. Signal denoising based on lifting wavelet transform and its application[J]. Computer Engineering and Applications, 2008, 44(10): 234-237. DOI: 10.3778/j.issn.1002-8331.2008.10.070
Authors:KONG Guo-jie  ZHANG Pei-lin  CAO Jian-jun  YANG Hui-yong
Affiliation:1.Ordnance Engineering College,Shijiazhuang 050003,China 2.Nanjing University of Science and Technology,Nanjing 210094,China
Abstract:The lifting wavelet transform is employed to construct wavelet to solve the problem of noise reduction in gun bore detection,according to the theory and characteristics of the lifting wavelet transform.A SGWT algorithm which employs interpolating subdivision is described,and then its principle of denoising is discussed.The denoising effect and the relationship between wavelet support and denoising result are investigated by experiment.The conclusion of this research work gives a reference to select wavelet for signal denoising. It is shown that better that denoising effect for gun barrel radius measuring signals in detecting system of gun bore are achieved by using the proposed method.
Keywords:denoising  lifting wavelet  interpolating subdivision  gun bore detection
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