小波变换在地质雷达干扰波压制中的应用

小波变换方法是近年来发展起来的一种新的数学方法，具有强大的时频分析能力，并广泛地应用到信号处理的各个领域。本文首先简要地介绍了小波变换原理及去噪方法，然后通过阻尼震荡信号、一维地质雷达合成记录和二维地质雷达合成剖面等模型，用db4小波进行了三阶分解，然后根据干扰波的特征进行了小波去噪和干扰波压制，结果表明，小波多尺度分解后，随机噪声主要集中在较低阶的小波细节之中，用小波变换去噪方法，可有效去噪和压制干扰波。对实测的地质雷达资料也进行了处理，取得了较好效果。

Application of Wavelet Transform in De-Nosing Ground Penetrating Radar Data

The wavelet transform is a new mathematical method which has been developed in recent years.Wavelet analysis has great ability for time-frequency analysis,and is widely applied to various fields of signal processing.This paper introduces the wavelet transform principles and the de-noising methods using wavelet transform.By the multi-scale decomposition of contaminated signals with random noises,we find random noises are mainly concentrated in the lower scale wavelet in different model experiments.Finally,we apply wavelet transform to de-noising the field ground penetrating radar data.