Hilbert-Huang变换与ELF信号处理  

Hilbert-Huang transformation and ELF signal processing

作　　者：白大为[1,2] 底青云[1] 王光杰[1] 李帝铨[1] 程辉[1] 

机构地区：[1]中国科学院地质与地球物理研究所,北京100029 [2]中国科学院研究生院,北京100049

出　　处：《地球物理学进展》2009年第3期1032-1038,共7页Progress in Geophysics

基　　金：中国科学院知识创新工程重要方向项目(KZCX2-YW-121).

摘　　要：Hilbert-uang变换(HHT)是近年出现的一种自适应的非平稳、非线性信号处理方法,该方法迄今已在许多非线性、非平稳信号处理的研究领域得到了很好的应用.本文简要介绍了Hilbert-Huang变换的基本实现原理与算法基础,通过仿真信号验证了该方法的有效性,并以实际数据为例,探讨了它在极低频(ELF)信号处理及噪声压制方面的应用.利用Hilberr-Huang变换对ELF信号进行频率域滤波,可以对噪声进行有效压制,从而提取已知频率的电磁信号,极大地提高信号质量.Hilbert-Huang transformation is a self-adapted signal processing method developed in resent years for dealing with non-linear and non-stationary signals. This method has been used in many research fields of non-linear and non stationary signal processing. This paper briefly introduces the basic realization principles and algorithms of Hilbert-Huang transformation and confirms its validity by simulations. By analyzing the actual data examples, we discuss its application to ELF signal processing and noise suppression, It is found that using the HHT method in frequency domain filtering can effectively suppress the noise of ELF signals and significantly improve signal quality.

关 键 词：HILBERT-HUANG变换 ELF信号 频率域滤波 噪声压制 

分 类 号：P631[天文地球—地质矿产勘探]