Extraction of Seismic Wavelets Based on the Tri-Spectrum Least Square

Author

Li, Yajun ; Yan, Xinzhong ; He, Jing ; Yuan, Ye

Author_Institution

Coll. of Electron. Inf. & Autom., Tianjin Univ. of Sci. & Technol., Tianjin, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

5

Abstract

Seismic wavelets were reconstructed using the great noise resisting ability of the high-order spectrum, and the information of amplitude and phase provided by it. As the bispectrum of the symmetric distribution random signals is equal to zero, whereas the tri-spectrum is not equal to zero, thus the tri-spectrum least square for the reconstruction of amplitude and phase is proposed based on the bi-spectrum lease square. The results of the simulation experiments show the effectiveness of the proposed tri-spectrum least square.

Keywords

Gaussian distribution; geophysical signal processing; geophysical techniques; least squares approximations; seismic waves; seismology; Gaussian distribution; bi-spectrum lease square; random signal distribution; seismic data processing; seismic signal processing; seismic wavelets extraction; tri-spectrum least square; Colored noise; Convolution; Data mining; Gaussian noise; Least squares methods; Phase noise; Statistics; Stochastic processes; Wavelet analysis; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4129-7

Electronic_ISBN

978-1-4244-4131-0

Type

conf

DOI

10.1109/CISP.2009.5303510

Filename

5303510