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Spectral decomposition of seismic data with reassigned smoothed pseudo Wigner–Ville distribution by Xiaoyang Wu; Tianyou Liu is a Earth and Planetary Sciences article available to read on EtoBox.

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Seismic signals are nonstationary mainly due to absorption and attenuation of seismic energy in strata. Referring to spectral decomposition of seismic data, the conventional method using short-time Fourier transform (STFT) limits temporal and spectral resolution by a predefined window length. Continuouswavelet transform (CWT) uses dilation and translation of a wavelet to produce a time-scale map. However, the wavelets utilized should be orthogonal in order to obtain a satisfactory resolution. The less applied, Wigner-Ville distribution (WVD) being superior in energy distribution concentration, is confronted with cross-terms interference (CTI) when signals are multi-component. In order to reduce the impact of CTI, Cohen class uses kernel function as low-pass filter. Nevertheless it also weakens energy concentration of auto-terms. In this paper, we employ smoothed pseudo Wigner-Ville distribution (SPWVD) with Gauss kernel function to reduce CTI in time and frequency domain, then reassign values of SPWVD (called reassigned SPWVD) according to the center of gravity of the considering energy region so that distribution concentration is maintained simultaneously. We conduct the method ab

Who reads Spectral decomposition of seismic data with reassigned smoothed pseudo Wigner–Ville distribution?

Author

Xiaoyang Wu; Tianyou Liu

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0926-9851)

Published

2009

Language

EN

Field

Earth and Planetary Sciences (Physical Sciences)