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小波分析引入了多尺度分析思想，可以对静态效应和深部异常，局部异常和区域异常，信号和噪声进行识别和分离。基于小波变换的特性，作者在频率域电磁测深静态效应的自动识别和压制、重磁异常分离的高精度方法、电阻率函数的奇性分析和深度反演、地震波速反演成像和噪声压制等方面成功地应用了小波分析理论
Wavelet analysis introduces the idea of multi-scale analysis, which can identify and separate the static effects and deep anomalies, local anomalies and regional anomalies, signals and noise. Based on the characteristics of wavelet transform, the authors identify and suppress the static effects of electromagnetic sounding in the frequency domain, high-precision methods of gravity and magnetic anomaly separation, singularity analysis and depth inversion of resistivity function, seismic velocity inversion imaging and noise suppression And other aspects of the successful application of wavelet analysis theory