Title :
Two dimensional AR modeling by autocorrelation fitting
Author :
Jackson, L. ; Chen, Haiguang
Author_Institution :
Dept. of Electr. Eng., Rhode Island Univ., Kingston, RI, USA
Abstract :
The problem of two-dimensional AR (autoregressive) modeling of two-dimensional stationary random fields by fitting the estimated autocorrelation function with the model autocorrelation function is addressed. Both nonsymmetric half-plane and quarter-plane supports are used for modeling. Ekstrom-Woods (1976) two-dimensional spectral factorization is used to generate a stable and accurate initial estimate of the model coefficients and permits the determination of the model coefficients with the same support as the original autocorrelation data. Several experimental results are given to illustrate the effectiveness of the method in two-dimensional artificial random field synthesis and spectral estimation
Keywords :
filtering and prediction theory; parameter estimation; spectral analysis; artificial random field synthesis; autocorrelation fitting; autoregressive modelling; nonsymmetric half-plane supports; quarter-plane supports; spectral estimation; spectral factorization; two-dimensional stationary random fields; Autocorrelation; Convolution; Filters; Iterative algorithms; Nonlinear equations; Quadratic programming; Two dimensional displays; Writing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116115
