摘要
小波分析和奇异谱分析是当前处理时间序列数据十分有效的方法,通过小波分析和奇异谱分析可以有效去除观测数据中的噪声和异常值,获取变形趋势和周期。文章将小波分析和奇异谱分析方法应用于隧道监测数据处理,并与时间序列模型组合预测分析,为隧道监测提供参考。
Wavelet analysis and singular spectrum analysis are very effective methods for processing time series data.Wavelet analysis and singular spectrum analysis can effectively remove noise and outliers in observation data and obtain deformation trend and period. In this paper,wavelet analysis and singular spectrum analysis methods are applied to tunnel monitoring data processing, and combined with time series model prediction analysis,and good results are obtained.
作者
易成
袁伟
YI Cheng;YUAN Wei(College of Geomatics,Shandong University of Science and Technology,Qingdao Shandong 266590,China;Hefei Surveying and Mapping Design Institute,Hefei Anhui 230001,China)
出处
《地矿测绘》
2019年第4期6-9,共4页
Surveying and Mapping of Geology and Mineral Resources
关键词
小波分析
奇异谱分析
时间序列
Wavelet analysis
singular spectrum analysis
time series
