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。
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.
出处
《中国测试》
CAS
北大核心
2014年第4期115-118,共4页
China Measurement & Test
关键词
小波包
自适应滤波
超声无损检测
去噪
wavelet package
adaptive filtering
ultrasonic NDT
denoise
