Title :
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
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;
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
DOI :
10.1109/CISP.2009.5303510
