一种改进小波阈值去噪方法的研究  

Improved Wavelet Threshold De-Noising Method Research

作　　者：王旭[1] 王昶[2] WANG Xu WANG Chang(Forestry Institute,Liaoning Forestry Vocation-Technical College, 186 Fengyang Road, Shenyang 110101, China College of Civil Engineering,University of Science and Technology Liaoning, 185 Mid-Qianshan Road, Anshan 114051, China)

机构地区：[1]辽宁林业职业技术学院林学院,沈阳市枫杨路186号110101 [2]辽宁科技大学土木工程学院,鞍山市千山中路185号114051

出　　处：《大地测量与地球动力学》2017年第10期1038-1041,1078,共5页Journal of Geodesy and Geodynamics

基　　金：项目来源:小波阈值去噪法在变形监测数据处理中的应用研究(KJ201505)~~

摘　　要：针对传统小波阈值去噪分析的不足,分别从两个方面进行改进:1)根据小波系数在各尺度上的相关性,提出基于Lip指数阈值寻优的新方法;2)用构造的新小波阈值函数处理小波系数,克服了软阈值的高阶不可导和硬阈值函数的不连续,且计算方便。最后使用新方法对一组离散变形数据进行去噪处理,验证了其有效性和优越性。This paper improves traditional wavelet threshold de-noise analysis from two sides. First,a newmethod based on Lip exponent threshold optimization is cients at different scales. Second, we construct a new wavelet coefficients. This is convenient to compute, an threshold function, without the high order derivative proposed by the correlation of wavel wavelet threshold function to deal d it overcomes the discontinuity of process a set of discrete deformation monitoring data using the improved threshold algorithm showing its better de-noising ability. et coeffi- with the the hard ally, we method,

关 键 词：变形监测 小波去噪 阈值函数 Lip指数 阈值寻优 

分 类 号：P258[天文地球—测绘科学与技术]