Time-reassigned multisynchrosqueezing of the S-transform for seismic time-frequency analysis

• Autorzy: Liu, Wei , Liu, Yang , Li, Shuangxi
• Języki publikacji: EN

Abstrakty

EN

To accurately capture the time-frequency spectral anomaly, a novel time-frequency analysis (TFA) method, termed as time-reassigned multisynchrosqueezing S-transform (TMSSST), is proposed. In this study, we derive a N-order group delay (GD) estimator designed for frequency-domain S-transform to cope with the signal with fast varying instantaneous frequency (IF). By introducing an iterative reassignment procedure, the proposed TMSSST not only can produce a highly energy-concentrated time-frequency representation (TFR) but also can reconstruct the original signal with a high accuracy. Three synthetic signals are employed to validate the effectiveness of the proposed method by comparing with some classical TFA techniques such as S-transform (ST), synchrosqueezing S-transform (SSST) and time-reassigned synchrosqueezing S-transform (TSSST). It is shown that the TMSSST does a better job in addressing strongly frequency-varying signal. Application on field data further indicates the potential of highlighting subsurface geological structures and thus, facilitating seismic interpretation.

Słowa kluczowe

PL

dane sejsmiczne; reprezentacja czasowo-częstotliwościowa; lokalizacja czasowa

EN

seismic data; time-frequency representation; time localization; time-reassigned synchrosqueezing S-transform; frequency-domain S-transform

• Czasopismo: Acta Geophysica
• Rocznik: 2024
• Tom: Vol. 72, no. 2
• Strony: 759--775
• Opis fizyczny: Bibliogr. 32 poz.

Twórcy

autor

Liu, Wei

• College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, North Third Ring East Road 15th, Chaoyang District, Beijing 100029, China,
• Beijing Key Laboratory of Health Monitoring Control and Fault Self-Recovery for High-end Machinery, Beijing University of Chemical Technology, North Third Ring East Road 15th, Chaoyang District, Beijing 100029, China

autor

Liu, Yang

• College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, North Third Ring East Road 15th, Chaoyang District, Beijing 100029, China
• Beijing Key Laboratory of Health Monitoring Control and Fault Self-Recovery for High-end Machinery, Beijing University of Chemical Technology, North Third Ring East Road 15th, Chaoyang District, Beijing 100029, China

autor

Li, Shuangxi

• College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, North Third Ring East Road 15th, Chaoyang District, Beijing 100029, China,
• Beijing Key Laboratory of Health Monitoring Control and Fault Self-Recovery for High-end Machinery, Beijing University of Chemical Technology, North Third Ring East Road 15th, Chaoyang District, Beijing 100029, China

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Identyfikatory

DOI

10.1007/s11600-023-01137-x