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基于小波包变换的基本原理，提出了对不同频率范围的信号和噪声进行滤波处理的方法．利用该方法可将噪声与信号分离以及将不同频段信号分解，从而达到滤波的目的．仿真结果表明，小波包变换具有许多其它分析手段所不具备的优点，是一种有效的滤波方法，可应用于地震信号的预处理
Based on the basic principle of wavelet packet transform, a method of filtering signals and noise in different frequency ranges is proposed. This method can be used to separate the noise and signal and decompose the signals in different frequency bands to achieve the purpose of filtering. The simulation results show that the wavelet packet transform has many advantages that other analysis methods do not have, and it is an effective filtering method that can be applied to the pre-processing of seismic signals