多项式平滑算法研究及其在滑坡数据预处理中的应用

Polynomial smoothing algorithm and its application in the landslide data preprocess

本文研究了滑坡数据平滑预处理方法,基于最小二乘的三阶多项式拟合平滑算法和最小二乘的三阶正交多项式平滑算法处理滑坡数据,采用窗口的移动方法,对于包含平稳和振荡特点的数据,都获得了比较良好的效果,不仅可以达到平滑的目的,提高数据的质量,而且通过实例也说明了正交多项式平滑的精度优于多项式平滑的结果,其计算速度明显加快.

Based on least-squares third-order polynomial fitting smoothing algorithm and the least-squares third-order orthogonal polynomial smoothing algorithm,this paper studies a landslide data smoothing pre-processing method by using the window mobile method.For the steady and oscillation data,it gives quite good results. The method can not only smooth and improve data quality,but also the smooth precision of orthogonal polynomials has been increased and computing speed has been accelerated noticeably.Therefore,the new method is better than polynomial smoothing method.