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Using Nonlinear Thresholding of Stockwell Transforms to Denoise Seismic Waveforms

Description: 

Stockwell transform, commonly known as S Transform (ST, Stockwell et al., 1996) is an extension of the continuous wavelet transform (CWT) and involves an inverse frequency-dependence of the localizing Gaussian window as well as a modulating phase factor, which in contrast to CWT and short-time Fourier transform (STFT), result in frequency-dependent resolution. We are leveraging that advantage by implementing an ST thresholding method for noise suppression in seismic data. Because of the better frequency resolution provided by the ST, combined with the proven efficiency of thresholding methods in improving the signal-to-noise ratio in general, we expect the ST-based thresholding approach to be superior to standard methods and the previously developed CWT thresholding. The approach should lead to better downstream products, including improved signal detection and event characterization.

Session: Advancements in Forensic Seismology and Explosion Monitoring [Poster]

Type: Poster

Date: 4/17/2025

Presentation Time: 08:00 AM (local time)

Presenting Author: Rigobert

Student Presenter: No

Invited Presentation: 

Poster Number: 95

Authors