Application of Wavelet Threshold Denoising in High-speed Rail Data Processing in Alpine Region

摘要：

　　In alpine regions,a series of external factors may result in error in observing data of the high-speed rail.Based on traditional high-speed rail subsidence and deformation monitoring methods,this article aims at denoising processing of observing data of Harbin-to-Dalian high-speed rail(Siping section),in which the wavelet threshold denoising method was adopted.Comparing the denoising results of the hard and the soft threshold function,we put up a new method,which preprocessed the raw data with fuzzy control filter.As the results showed,the method could sensitively recognize the noise without prior knowledge,therefore,it is suitable for high-speed rail subsidence and deformation data processing in alpine regions.

关键词： subsidence and deformation monitoring denoising wavelet analysis threshold function

作者: Zhou Peng Wang Jianmin Yang Jianchao Wang Gang Tang Zhenbin

作者单位: Liaoning Technical University, School of Geomatics Fuxin, Liaoning, 12300

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 1523-1526

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）