Abstract：In order to improve the accuracy and reliability of the building deformation data, through the analysis of the basic principle of wavelet threshold de noise method, this paper used the hierarchical threshold de-noising method of wavelet detail coefficients autocorrelation analysis and a method for determining the maximum decomposition level of wavelet decomposition based on useful signal the minimum frequency Component, and provided the step of the hierarchical threshold de-noising method. Paper processes a set of building inclination deformation data as experiment data, and compared with other wavelet de-noising methods, the results showed that the wavelet hierarchical threshold de-noising method can reduce better the denoising effect, and provide a practical and effective method in processing deformation monitoring data.
王昶，随心，王旭. 利用分层阈值去噪法处理建筑物倾斜变形数据[J]. 辽宁工程技术大学学报(自然科学版), 2015, 34(11): 1271-1274.
WANG Chang, SUI Xin, WANG Xu. Using hierarchical threshold de-noising method to process building inclination deformation data. Journal of LNTU.Natural Science, 2015, 34(11): 1271-1274.