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2016•78th EAGE Conference and Exhibition 2016Requires access

Time-frequency Analysis of Seismic Data via the Multitapered Synchrdsqueezing Transform

N.H. Liu, J.H. Gao, Q. Wang

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Abstract

Summary Time-frequency representation (TFR) can provide local spectral information in seismic data processing. High-quality TFR is important for analyzing these time-varying signals to characterize geological structures. Due to the Heisenberg uncertainty principle, traditional time-frequency methods (e.g. short time Fourier transform and continuous wavelet transform) always lead to ambiguous TFR which has negative effect on characterization of seismic signal with high resolution. A novel time-frequency representation method called the multitapered synchrosqueezing transform (MSST) is proposed to distinguish the different time-frequency contents. We introduce this promising time-frequency representation method to seismic data processing and show its effectiveness.

About this research paper

What this paper is about

Summary Time-frequency representation (TFR) can provide local spectral information in seismic data processing. High-quality TFR is important for analyzing these time-varying signals to characterize geological structures. Due to the Heisenberg uncertainty principle, traditional time-frequency methods (e.g. short time Fourier transform and continuous wavelet transform) always lead to ambiguous TFR which has negative effect on characterization of seismic signal with high resolution. A novel time-frequency representation method called the multitapered synchrosqueezing transform (MSST) is proposed to distinguish the different time-frequency contents. We introduce this promising time-frequency representation method to seismic data processing and show its effectiveness.

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Available abstract

Summary Time-frequency representation (TFR) can provide local spectral information in seismic data processing. High-quality TFR is important for analyzing these time-varying signals to characterize geological structures. Due to the Heisenberg uncertainty principle, traditional time-frequency methods (e.g. short time Fourier transform and continuous wavelet transform) always lead to ambiguous TFR which has negative effect on characterization of seismic signal with high resolution. A novel time-frequency representation method called the multitapered synchrosqueezing transform (MSST) is proposed to distinguish the different time-frequency contents. We introduce this promising time-frequency representation method to seismic data processing and show its effectiveness.

Key concepts: Time–frequency analysis, Time–frequency representation, Representation (politics), Computer science, Fourier transform, S transform, Wavelet transform, Short-time Fourier transform

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