一种自相关函数绝对值均值变点的去噪方法A method of CEEMD denoising based on the theory of absolute value of autocorrelation function mean point variation
崔东东,张恒璟,程鹏飞
摘要(Abstract):
针对CEEMD去噪基于能量准则判定分界点存在稳定性差的问题,该文以噪声和有用信号各自的自相关函数特点之间的差异为基础,提出了一种基于自相关函数绝对值均值变点的CEEMD去噪方法。该方法利用噪声和有用信号各自的自相关函数值存在差异的特点,实现了噪声和信号模态分界点的定量判定,对发现的噪声模态分量,采用小波软阈值法去噪,保留了存在于噪声模态分量中有用的信号。bjfs和auck两个CORS站20余年的高程时间序列数据,实验结果表明:该方法可以定量判定噪声和信号模态的分界点,去噪后信噪比提高14%以上,而且采用均方根误差指标统计的高程时间序列预报精度提高了44%以上。提出了一种基于自相关函数绝对值均值变点的CEEMD去噪方法,实现了CORS站高程坐标分量数据的去噪。
关键词(KeyWords): 绝对值均值变点;自相关函数;CEEMD;信噪比;均方根误差
基金项目(Foundation): 高分对地观测系统重大专项:GF-7卫星高程基准转换模型构建与应用技术项目;; 2017年辽宁省教育厅青年项目(LJ2017QL008);; 高分遥感测绘应用示范系统(一期)项目;; 中国测绘科学研究院基本科研业务费项目(AR1918)
作者(Author): 崔东东,张恒璟,程鹏飞
DOI: 10.16251/j.cnki.1009-2307.2019.12.007
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