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观测得到的天然地震信号,由于各种因素的影响,使得信号存在一定的噪声。因此,需要对信号进行去噪处理,为后面的数据分析奠定基础。小波变换能自适应地反映信号的低频、高频成分,可以用于滤波或压缩信号,从而去除信号中的噪音。本文首先介绍了小波阈值去噪的基本原理,然后利用一段实测的天然地震信号,通过参数试验,将小波阈值去噪的结果进行对比分析。
Observed natural seismic signals, due to various factors, making the signal there is a certain amount of noise. Therefore, the signal needs to be denoised to lay the foundation for the following data analysis. Wavelet transform can adaptively reflect the low-frequency and high-frequency components of the signal, which can be used to filter or compress the signal to remove the noise in the signal. In this paper, the basic principle of wavelet threshold denoising is introduced firstly, and then the results of wavelet threshold denoising are comparatively analyzed by using a section of measured natural seismic signals.