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

Abstract

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.