变形监测数据的一种小波去噪法研究

A wavelet de-noising method of deformation monitoring data

变形监测数据不可避免会受到噪声污染,本文根据原始信号特征,通过合理的选择小波基,采用自适应阈值法去噪,可提取变形数据有用信号并恢复信号的光滑性,保留信号曲线的特征,达到较好的去噪效果。实例证明了该方法的有效性和可行性。

Deformation monitoring data will inevitably be polluted by noise.According to the original signal characteristics,the paper selected the reasonable wavelet base,and used adaptive threshold value method to de-noise,which can be used to extract useful signal deformation data,restore the smoothness of signal,and retain signal curve characteristic,a better de-noising effect was achieved.An instance proved the feasibility and effectiveness of this method.