Research on the high-efficiency ARMA model applied in seismic wavelet estimation
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.
seismic wavelet ARMA model, order determination
SUN Hong-tao DAI Yong-shou WANG Shao-shui PENG Xing
College of Information and Control Engineering China University of Petroleum DongYing City, Shandong Province, China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
164-167
2010-08-24(万方平台首次上网日期,不代表论文的发表时间)