基于小波模极大值改进算法的变形模型研究

变形监测中获得的观测资料不可避免地存在着噪声,如何从受噪声干扰的数据序列中提取特征信息,提高变形监测的精度是变形监测系统所涉及的关键技术问题之一。本文把小波模极大值与变形监测相结合,给出了改进的小波模极大值变形监测模型。该模型把阈值去噪和Witkin尺度跟踪理论结合,有效恢复了信号。与传统的去噪方法相比,该算法有着更高的精度,提高了信噪比,有更好的去噪效果。

The deformation model research based on wavelet modular maximum improved algorithm

Noise in observational data obtained in deformation monitoring is inevitably in existence. How to extract diagnostic information from noise data sequence and improve deformation monitoring precision is the critical technology among the deformation monitoring system. In the article, the Improved Wavelet Modular Maximum deformation monitoring model is presented, which combines Wavelet Modular Maximum with deformation monitoring. This model combines the method of threshold de-noising with scale trading theory by Witkin, and recovers the signal efficiently. Being Contrasted with the traditional de-noising methods, this method enforces the signal to noise ratio and has a better precision and a better de-noising effect. It is an effective method in the deformation monitor data processing.