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The Enhancement of Seismic Signal by the Filtering Method Based on Synchrosqueezing Transform

机译:基于同步压缩变换的滤波方法增强地震信号

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The Synchrosqueezing Transform (SST) is a new time-frequency analysis method which is adaptive and invertible. It can obtain high time-frequency resolution by condensing and rearranging time-frequency representation (TFR) along the frequency axis. This paper proposes a filtering method based on SST for seismic signal enhancement and random noise reduction. Through experiments on synthetic signals, it demonstrates that the performance of the new method is better than the filtering methods based on conventional time-frequency transforms such as wavelet transform and so on.
机译:同步压缩变换(SST)是一种自适应且可逆的新型时频分析方法。通过沿频率轴压缩并重新排列时频表示(TFR),可以获得较高的时频分辨率。提出了一种基于SST的滤波方法,用于地震信号的增强和随机噪声的减少。通过对合成信号的实验,表明该方法的性能优于基于小波变换等传统时频变换的滤波方法。

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