SEISMIC WAVELET IDENTIFICATION BASED ON HIGHER-ORDER STATISTICS AND BERNOULLI-GAUSSIAN MODEL

摘要

Wavelet identification is an effective technique for improving the resolution of seismic data. Based on the higher-order statistics, bispectrum of seismic signals contain amplitude and phase information of seismic wavelet to extract and identify the seismic wavelet. The examples of synthetic data under higherorder statistics theory show that the method is feasible.