摘要
海底管道缺陷检测中的一个重要问题是对超声数据的噪声处理。检测过程中只有剔除叠加在有效信号中的高频噪声和干扰,才能获得有用的超声信号。因此,超声波检测能否准确的关键是对信号背景噪声进行怎样的处理。本文基于小波分析技术,对三种小波滤波方法进行了比较,并通过labview软件同时运用小波技术在NI硬件上实现滤波过程,最后给出了实验图像,得到了较好的效果。
It is an important problem in the noise of ultrasound data processing that undersea pipeline delects detection, we can ob- tain useful ultrasonic signal when eliminate superimposed on the effective signal high-frequency noise and interference testing pro- cess. Therefore, it is important that we accurate signal background noise. This paper, based on wavelet analysis technique of three kinds of wavelet filter method were compared, and through the labview software and using wavelet technology in NI hardware realize filtering process, finally gives the experimental images, get a good effect.
出处
《微计算机信息》
2012年第5期177-178,共2页
Control & Automation
