Seismic time–frequency spectrum analysis based on local polynomial Fourier transform

• Autorzy: Qi Pengfei , Wang Yanchun

Identyfikatory

DOI

10.1007/s11600-019-00377-0

• Języki publikacji: EN

Abstrakty

EN

Time–frequency analysis technology is widely used in non-stationary seismic data analysis. The energy concentration of the spectrum depends on the consistency of the kernel function of the time–frequency analysis method and the instantaneous frequency variation of the signals. The conventional time–frequency analysis methods usually require that the local instantaneous frequency of the signals remains unchanged or linearly changed. So it is difcult to accurately characterize the instantaneous frequency nonlinear variation of the non-stationary signal. The local polynomial Fourier transform (LPFT) method can efectively describe the instantaneous frequency variation by local high-order polynomial ftting and obtain the results with high spectral and energy concentration. The numerical simulations and feld seismic data applications show that the time–frequency spectrum results obtained by LPFT can refect the instantaneous frequency variation characteristics of the seismic data, while ensuring the concentration of time–frequency energy.

Słowa kluczowe

EN

non-stationary seismic data; time-frequency analysis; local polynomial Fourier transform; energy concentration

PL

niestacjonarne dane sejsmiczne; analiza czasowo-częstotliwościowa; lokalna wielomianowa transformata Fouriera; koncentracja energii

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2020
• Tom: Vol. 68, no. 1
• Strony: 1--17
• Opis fizyczny: Bibliogr. 37 poz.

Twórcy

autor

Qi Pengfei

• School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China

autor

Wang Yanchun

• School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021)