DocumentCode
1276013
Title
High resolution two-dimensional ARMA spectral estimation
Author
Zhang, Xian-Da ; Cheng, Jie
Author_Institution
Changcheng Inst. of Metrol. & Meas., Beijiing, China
Volume
39
Issue
3
fYear
1991
fDate
3/1/1991 12:00:00 AM
Firstpage
765
Lastpage
770
Abstract
The authors present a practical algorithm for estimating the power spectrum of a 2-D homogeneous random field based on 2-D autoregressive moving average (ARMA) modeling. This algorithm is a two-step approach: first, the AR parameters are estimated by solving a version of the 2-D modified Yule-Walker equation, for which some existing efficient algorithms are available; then the MA spectrum parameters are obtained by simple computations. The potential capability and the high-resolution performance of the algorithm are demonstrated by using some numerical examples
Keywords
parameter estimation; spectral analysis; 2-D homogeneous random field; ARMA spectral estimation; Yule-Walker equation; autoregressive moving average; high-resolution performance; power spectrum; Autoregressive processes; Equations; Iterative algorithms; Metrology; Minimization methods; Nonlinear distortion; Predictive models; Signal processing algorithms; Two dimensional displays; Yield estimation;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.80871
Filename
80871
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