一种小波包混合滤波方法及其应用

章浙涛; 朱建军; 匡翠林; 张勇

doi:10.13203/j.whugis20120141

一种小波包混合滤波方法及其应用

¹ 中南大学地球科学与信息物理学院,湖南长沙,410083

基金项目: 国家973计划资助项目(2013CB733300)；国家863计划资助项目(2012AA121301)；国家自然科学基金资助项目(41274010,40974007)；中南大学研究生自主探索创新资助项目(2013zzts254)

详细信息

作者简介:
章浙涛,硕士生,主要从事现代测量数据处理理论方面的研究。

中图分类号: P207
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出版历程
- 收稿日期: 2013-03-24
- 修回日期: 2014-04-04
- 发布日期: 2014-04-04

A Hybrid Filter Method Based on Wavelet Packet and Its Application

¹School of Geosciences and Info-Physics,Central South University,Changsha 410083,China

Funds: The Major State Basic Research Development Program of China(973Program),No.2013CB733300;The National High techR&D Program of China(863Program),No.2012AA121301;the National Natural Science Foundation of China,Nos.41274010,40974007;Central South University Sub-topics Graduate Independently Explore Innovative Projects,No.2013zzts254.

More Information

Author Bio:
ZHANG Zhetao,specializes in modern surveying data processing.

摘要

摘要: 目的 GPS变形监测数据的采样频率逐渐提高,对数据预处理提出了更高要求。提出了一种改进方法,即在小波包分析的基础上,结合高频系数加权中值滤波以及整体加权均值滤波的混合滤波方法对数据进行预处理。实验证明,该方法能简单快速且最大程度地去除大量数据中的随机非随机噪声、粗差等无用信息,同时突出了监测目标中趋势项、周期项等有用信息,适用于处理采样频率较高的变形监测数据,是一种实用的数据处理方法。
- GPS变形监测 /
- 数据去噪 /
- 小波包分析 /
- 加权中值滤波 /
- 加权均值滤波
Abstract: Objective In recent years,although data provide more information for monitoring objectives with the gradual474 increase of the sampling frequency,nevertheless preprocessing creates higher requirements.In order to solvethese problems,this paper proposes an improved hybrid filter method based on wavelet packet analysis thatcombines a high-frequency coefficients weighted median filter and the overall weighted mean filter used to pre-process the data.Through theoretical analysis and practical application,this method is shown to be simple,fast and has a maximum de-noising effect of random noise,non-random noise,gross error and other uselessinformation,while highlighting the trend,periodic and other useful information for monitoring objectives.This improved method has better de-noising effect than traditional methods and is particularly suitable forhigh-rate deformation monitoring data and a practical method for data processing.
- GPS deformation monitoring /
- data de-noising /
- wavelet packet analysis /
- weighted median filter /
- weighted mean filter