利用小波变换对高频大地电磁数据处理的应用研究

针对高频大地电磁法（EH4）时间序列的信号是非平稳信号，容易受到各种干扰，本文尝试利用小波变换方法对信号进行分析处理。文中针对受到工频干扰时间序列信号进行分析、消噪处理，并对其它受到风吹、脉冲等干扰信号进行处理，取得了较好的消噪效果，提高了信号的信噪比，突显出了有效信号成分，证明了小波变换应用于EH4时间序列信号数据处理当中是可行和有效的。

Application of Processing High--frequency Magnetotelluric Data with Wavelet Transform

For high--frequency magnetotelluric method （EH4）, time sequency signal is non --stationary signal, and it＇s susceptible to all kinds of interferences. This paper attempts to use wavelet transform method to analyze and process it. In the text analysis and denois- ing the time sequency signal which is interfered by frequency interference and others ex- posed to the wind, the pulse interference and so on. Noise reduction achieves good effect to improve the signal to noise ratio and highlights the active signal components. Wavelet transform is applied on EH4 time sequency signal data processing, which is feasible and ef- fective.