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,
作者
王旭
王昶
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)
出处
《大地测量与地球动力学》
CSCD
北大核心
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)~~
关键词
变形监测
小波去噪
阈值函数
Lip指数
阈值寻优
deformation monitoring
wavelet denoise
thresholds function
Lip exponent
threshold op-timization
