基于小波变换的大地电磁信号去噪研究

大地电磁信号具有非线性、非平稳、非最小相位特征,是一种典型的非平稳随机信号,传统傅里叶变换来对其去噪效果不是很理想。小波变换具有良好的时域分析和多分辨分析特性,用来处理非平稳随机信号可以获得更多有价值的信息,因此小波变换成为大地电磁信号的有效的去噪处理方法之一。本文基于小波变换的理论研究,研究了它在大地电磁信号去噪处理中的应用。研究表明,在大地电磁信号去噪中小波变换对于各种噪声的压制是非常有效的。

De-noising Research of Magnetotelluric Signal Based on Wavelet Transform

Magnetotelluric signal has the characteristic of nonlinear,non-stationary,non-minimum phase,and it is one typical non-stationary and random signal.It is not very well to de-noising the signals by using the traditional Fourier transform.Wavelet transform has excellent time-frequency domain analysis and multi-resolution analysis characteristics.It can be used to process non-stationary and random signals and it can obtain more valuable information,so it becomes one of effective de-noising methods for magnetotelluric signals.Based on the theoretical analysis of wavelet transform,it studies its application in the de-noising of magnetotelluric signal in the paper.The studies show that wavelet transform technique is very well in suppressing the various noise of magnetotelluric signals.