摘要
本文采用改进的小波包去噪方法对桥梁的变形监测数据进行去噪分析。研究了改进的小波包去噪三种不同阈值函数的去噪方法,分别从最优小波基的选取、最大尺度的确定、阈值函数的改进等三个方面进行分析。通过实验分析和去噪后的评价指标分析,结果表明改进的小波包阈值函数去噪效果要优于硬阈值函数和软阈值函数去噪,并且其去噪效果也要优于传统的小波包去噪。因此,改进的小波包阈值函数去噪方法为在高精度的变形监测数据处理分析提供了一种新的方法。
In this paper,the improved wavelet packet denoising method is used to de-noising the bridge deformation monitoring data.The denoising methods for three different threshold functions of improved wavelet packet denoising are studied.The methods are respectively selected from three aspects:the selection of the optimal wavelet base,the determination of the maximum scale and the improvement of the threshold function.The experimental results show that the denoising effect of the improved wavelet packet threshold function is better than that of the hard threshold function and the soft threshold function,and the denoising effect is better than the traditional wavelet packet denoising.Therefore,the improved wavelet packet threshold function de-noising method provides a new method for high-precision deformation monitoring data processing and analysis.
作者
冯立朋
朱军桃
熊东旭
王炯
程胜
FENG Lipeng;ZHU Juntao;XIONG Dongxu;WANG Jiong;CHENG Sheng(College of Geomatics and Geoinformation,Guilin University of Technology,Guilin Guangxi 541006,Chin;Guangxi Key Laboratory for Spatial Information and Geometrics,Guilin University of Technology,Guilin Guangxi 541006,China)
出处
《北京测绘》
2018年第3期344-348,共5页
Beijing Surveying and Mapping
关键词
变形监测
数据处理
小波包去噪
阈值函数
deformation monitoring
data processing
wavelet packet denoising
threshold function
