摘要
利用小波变换特有的低通滤波属性和有效抑制测量噪声的能力,将传统的最小二乘估计与之相结合,提出了一种基于小波预处理的最小二乘估计新方法 ,并针对具体基坑变形监测数据,验证了该方法的有效性。
Using the characteristic of the low pass filter properties and the capability of effectively inhibit the measuring noise of wavelet transform, and combining with the traditional least squares estimate, this paper put forward a new method of least squares estimate based on wavelet pretreatment. And then, this paper used the specific application examples of the deformation monitoring data to verify the ef ectiveness of the method.
出处
《地理空间信息》
2014年第6期135-137,5,共3页
Geospatial Information
基金
广西自然科学基金资助项目(0991023)
关键词
小波变换
最小二乘估计
噪声
拟合
Wavelet transform,the least squares estimate,noise,fitting
