DocumentCode :
3021133
Title :
Non-casual autoregressive bispectrum estimation and deconvolution
Author :
Nikias, Chrysostomos L. ; Chiang, Hsing-Hsing
Author_Institution :
Northeastern University, Boston, MA
Volume :
12
fYear :
1987
fDate :
31868
Firstpage :
1557
Lastpage :
1560
Abstract :
In this paper we propose a new method for non-minimum phase wavelet estimation and deconvolution based on non-causal autoregressive (AR) modeling of third moments of the output seismic trace. The magnitude and phase response of the wavelet are expressed in terms of the parameters of the noncausal AR model. The set of the AR parameters is obtained by solving an overdetermined linear system of equations which is formed using third moment estimates of the output data. A comparison of the non-causal AR bispectrum approach against more conventional approaches for wavelet magnitude and phase reconstruction is a major component of the paper. It is demonstrated by means of standard example that the proposed procedure achieves improved performance.
Keywords :
Autocorrelation; Deconvolution; Digital signal processing; Equations; Laboratories; Linear systems; Nonlinear systems; Phase estimation; Reflectivity; Wavelet domain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
Type :
conf
DOI :
10.1109/ICASSP.1987.1169902
Filename :
1169902
Link To Document :
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