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从小波变换的基本思想出发，提出一种提高地震资料信噪比及分辨率的新方法．首先按照 Mallat塔式算法在给定的某一倾角范围内对地震数据进行小波分解，然后应用模极大算法在小波域内将噪声抑制与滤除，最后通过小波反变换得到重构的地震记录．结果表明，该方法合理地解决了信噪比与分辨率之间的相互统一问题，较传统滤波方法更为有效．
Based on the basic idea of wavelet transform, a new method of improving signal-noise ratio and resolution of seismic data is proposed. First, according to Mallat’s tower algorithm, the seismic data are decomposed into wavelet at a given inclination angle. Then, the maximum modulus algorithm is used to suppress and filter the noise in the wavelet domain. Finally, the reconstructed seismic records are obtained by inverse wavelet transform. The results show that this method can reasonably solve the problem of mutual unification of SNR and resolution, which is more effective than the traditional filtering method.