CTBT: Science and Technology Conference 2025 - SnT2025

Using nonlinear thresholding of Stockwell transforms to denoise seismic waveforms

P3.5-179

Not scheduled

20m

Zeremoniensaal

E-poster T3.5 Analysis of Seismic, Hydroacoustic and Infrasound Monitoring Data P3.5 Analysis of Seismic, Hydroacoustic and Infrasound Monitoring Data

Speaker

Dr Rigobert Tibi (Sandia National Laboratories (SNL))

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 result in better frequency resolution than CWT or short-time Fourier transform (STFT). We are leveraging that advantage by implementing an S Transform thresholding method for noise suppression in seismic data. Because of the better frequency resolution provided by the S Transform, combined with the proven efficiency of thresholding methods in improving the signal to noise ratio in general, we expect the S Transform-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.