Abstract
Abstract A novel seismic wavelet estimation scheme is proposed based on S transform and Least Squares (LS) method. The scheme can reconstruct the coherent components after estimating major wavelet even when the signal-to-noise ratio (SNR) is low. The main frequency and delay along the event should be estimated. The proposed scheme can estimate seismic source wavelet with minor distortion. It can be realized as follows: firstly uses an S transform to estimate the delay and coarse frequency information, secondly applies a filter designed in S transform domain, thirdly gets the data in time domain by applying an inverse S transform to the filtered data, fourthly uses a windowed FFT unit to get the accuracy frequency estimation, and fifthly reconstructs the seismic source wavelet after estimating the energy based on LS method in time domain. Furthermore, the space–time-variant characteristic of the source wavelet is taken into account. An iteration scheme is designed to estimate all components of wavelet. The simulation results show that the proposed method can estimate the source wavelet effectively when the SNR is higher than 0 dB.
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