DocumentCode
3427233
Title
Research on the high-efficiency ARMA model applied in seismic wavelet estimation
Author
Sun Hong-Tao ; Dai Yong-shou ; Wang Shao-shui ; Peng Xing
Author_Institution
Coll. of Inf. & Control Eng., China Univ. of Pet., Dongying, China
fYear
2010
fDate
24-28 Oct. 2010
Firstpage
164
Lastpage
167
Abstract
On the assumption that the seismic wavelet is causal and nonminimum phase, an ARMA model is introduced to fit the seismic trace. The SVD method based on autocorrelation is used to determine AR order; and the author proposes a new MA model order determination method via combining the information theoretic criteria method with the method based on higher-order cumulant in order to improve the accuracy of MA order determination. The autocorrelation-based SVD-TLS method and cumulant-based method are used to obtain AR parameters and MA parameters respectively. Theoretical analysis and numerical simulations demonstrate the feasibility of the wavelet extraction approach.
Keywords
autoregressive moving average processes; correlation methods; higher order statistics; singular value decomposition; wavelet transforms; AR parameter; MA model order determination method; SVD method; autocorrelation based SVD-TLS method; high efficiency ARMA model; higher order cumulant method; information theoretic criteria method; numerical simulation; seismic trace; seismic wavelet estimation; wavelet extraction; Accuracy; Autoregressive processes; Correlation; Estimation; Mathematical model; Noise; Parameter estimation; ARMA model; order determination; seismic wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5897-4
Type
conf
DOI
10.1109/ICOSP.2010.5657125
Filename
5657125
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