【摘要】 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。更多还原

【Abstract】 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.更多还原