首页> 外文会议>International Conference ondvanced Measurement and Test >Application of Wavelet Threshold De-noising Method in Electromagnetic Ultrasonic Signal Processing
【24h】

Application of Wavelet Threshold De-noising Method in Electromagnetic Ultrasonic Signal Processing

机译:小波阈值去噪法在电磁超声信号处理中的应用

获取原文

摘要

In order to solve the problem of containing noise in echo signal detected by electromagnetic ultrasonic metal plate thickness, wavelet threshold method was used for de-noising. First to choose the wavelet function and decomposition scale to decompose the echo signal, then structure threshold rules by the weighted average method and dispose the wavelet coefficient obtained by decomposition, reconstruction signal. De-noising signal acquired by MATLAB simulation had obvious effect and SNR was 9.4441, RMSE was 0.2. Experimental results show that wavelet threshold value method can effectively inhibit noise doped echo signal and improve electromagnetic ultrasonic detection accuracy.
机译:为了解决通过电磁超声金属板厚度检测到的回波信号中噪声的问题,使用小波阈值方法进行去噪。首先选择小波函数和分解刻度来分解回波信号,然后通过加权平均方法进行结构阈值规则,并通过分解而进行的小波系数,重建信号。 Matlab模拟获得的去噪信号具有明显的效果,SNR为9.4441,RMSE为0.2。实验结果表明,小波阈值方法可以有效地抑制噪声掺杂回波信号,提高电磁超声检测精度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号