作者：敬人可, 李建增, 周海林

作者单位：军械工程学院无人机工程系, 河北 石家庄 050003

关键词：小波包; 自适应滤波; 超声无损检测; 去噪

摘要：

为解决传统小波去噪方法因阈值设置问题或不能保留信号高频部分致使去噪效果不明显的问题,提出一种基于小波变换的自适应去噪方法,即先将信号进行小波包分解,然后对各分量信号分别选用不同的滤波参数,进行自适应滤波处理。实验表明:该方法有良好的超声信号去噪效果,为缺陷的分类和定量测量打下基础。

Ultrasonic signal denoising based on wavelet packet transform and adaptive filtering

JING Ren-ke, LI Jian-zeng, ZHOU Hai-lin

Department of UAV Engineering, Ordnance Engineering College, Shijiazhuang 050003, China

Abstract: Effect of traditional wavelet denoising method is not obvious for the threshold setting questions or they can't keep the high frequency part of denoising signal. Therefore, a method based on wavelet transform and adaptive denoising was proposed. Signal was decomposed firstly by wavelet packet, and then different filter parameters were respectively chosen for each component of the signal to carry out the adaptive filtering processing. The results prove that the method has good denoising effect for ultrasonic signal in the actual testing. It could lay the foundation for the defect classification and quantitative measurement.

Keywords: wavelet package; adaptive filtering; ultrasonic NDT; denoise

2014, 40(4): 115-118  收稿日期: 2013-10-25;收到修改稿日期: 2013-12-20

基金项目: 

作者简介: 敬人可(1987-),男,四川射洪县人,硕士研究生,专业方向为超声无损检测和智能信息处理与识别。

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