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本文从时频分析的角度出发，通过分析地震波与高频噪声在地震记录上的空间分布特征、频率分布征和能量分布特征等方面的差异，利用统计分析方法，提出了一种自适应的高频噪声的检测准则和压制方法。即先统计求取地震记录的正常子波振幅谱，然后据此识别出含有高频噪声的异常振幅谱，再对其进行压制。实际应用效果表明，该方法能有效地压制各类高频噪声，并保真地震记录的其它特征；同时，还具有适应性强、效果稳健等特点。
From the perspective of time-frequency analysis, this paper analyzes the differences of the spatial distribution, the frequency distribution and the energy distribution of seismic waves and high-frequency noise in seismic records. By means of statistical analysis, an adaptive high Frequency noise detection criteria and suppression methods. That is, the normal wavelet amplitude spectrum of the seismic record is obtained first, then the abnormal amplitude spectrum containing the high frequency noise is identified and then suppressed. The practical application shows that this method can effectively suppress all kinds of high frequency noise and fidelity the other features of seismic record. At the same time, it also has the characteristics of strong adaptability and steady effect.