小波变换在瞬变电磁数据去噪中的应用

Application of Wavelet Transform to De-noising of TEM Data

瞬变电磁法是当前煤矿水文电法勘探中最常用的物探方法之一。在瞬变电磁数据采集时,不可避免地受到各种噪声的干扰,传统的去噪方法已不能适应目前的勘探精度要求。应用多尺度小波变换方法对瞬变电磁信号去噪处理,可有效地区分有用信号与噪声信号,经试算得到了比较满意的去噪效果,实际应用中也表明小波变换是对瞬变电磁信号去噪的一种切实可行的方法。

TEM is one of the current coal hydro-electrical geophysical exploration methods.When collecting transient electromagnetic（TEM） data,it will be subjected to various noises.Now,the traditional de-noising method has not been already adapted to the precision of exploration.Application of multi-scale wavelet transform to eliminating noises can effectively distinguish the useful signal and noise signal.Through the comparison of the calculation,the good effect of de-noising is obtained.