一种新小波阈值算法的变形监测数据去噪方法  

A New Wavelet Threshold Algorithm for Deformation Monitoring Data Denoising

作　　者：沙磊[1] SHA Lei(Anhui Institution of Geological Experiment(Hefei Mineral Resources Supervision and Testing Center,MLR),318 North-Fuyang Road,Hefei 230041,China)

机构地区：[1]安徽省地质实验研究所(国土资源部合肥矿产资源监督检测中心),合肥市230041

出　　处：《大地测量与地球动力学》2023年第8期847-850,共4页Journal of Geodesy and Geodynamics

基　　金：国家自然科学基金(42064003)。

摘　　要：针对传统小波阈值去噪算法中阈值估计不足的问题,在推导出高频信号中噪声影响幅度按1/2的规律逐渐减小后,提出一种新小波阈值估计算法,并将其应用于变形监测数据的去噪处理。理论分析和工程实例均表明,本文方法能够有效地克服软阈值法存在的恒定偏差,进一步提高去噪的精度和可靠性。In view of the insufficient threshold estimation in the traditional wavelet threshold denoising algorithm,this paper proposes a new wavelet threshold estimation algorithm and applies it to the denoising of deformation monitoring data after deriving that the noise influence amplitude in the high-frequency signal is gradually reduced by half.Theoretical analysis and engineering examples show that this method can effectively overcome the constant deviation of the soft threshold method,and further improve the accuracy and reliability of denoising.

关 键 词：变形监测 小波去噪 阈值函数 阈值 

分 类 号：P258[天文地球—测绘科学与技术]