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相干噪声常使地震记录中的反射同相轴模糊不清，使得处理解释难以进行。而常规的各种ｆ－ｋ滤波技术不能对其有效地消除，且每种技术都有其局限性，容易产生人为假象，使信号发生很大畸变。我们的技术是利用二维小波变换，把二维地震信号变换到有关频率、时间、波数、空间的一个四维函数。根据信号和相干噪声在频率、时间、波数、空间等方面的局部差异来达到滤波的目的。经过对实际炮集数据的处理表明该方法比ｆ－ｋ滤波技术消除噪声的效果要好，信号的畸变程度更低，并且没有任何限制条件。
Coherent noise often obscures the reflection events in seismic records, making interpretation difficult to perform. However, the conventional various f-k filtering technologies can not effectively eliminate them, and each technique has its limitation, which easily causes artificial illusion and causes great distortion of the signal. Our technique is to use a two-dimensional wavelet transform to transform a two-dimensional seismic signal into a four-dimensional function of frequency, time, wavenumber, and space. According to the signal and coherent noise in the frequency, time, wavenumber, space and other local differences to achieve the purpose of filtering. After processing the data of the actual shot set, it shows that this method is better than the f-k filtering technique to eliminate the noise, the distortion of the signal is lower and there is no limitation.