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We'd like to understand how you use our websites in order to improve them. Register your interest. This paper considers the problem of estimating the moving average MA parameters of a two-dimensional autoregressive moving average 2-D ARMA model.
On the basis of this recursion, a recursive equation is derived to estimate the MA parameters from the cepstral coefficients and the autoregressive AR parameters of a 2-D ARMA process. The cepstral coefficients are computed benefiting from the 2-D FFT technique.
The development presented here includes the formulation for real-valued homogeneous quarter-plane QP 2-D ARMA random fields, where data are propagated using only the past values. The proposed algorithm is computationally efficient especially for the higher-order 2-D ARMA models, and has the advantage that it does not require any matrix inversion for the calculation of the MA parameters. The performance of the new algorithm is illustrated by some numerical examples, and is compared with another existing 2-D MA parameter estimation procedure, according to three performance criteria.
As a result of these comparisons, it is observed that the MA parameters and the 2-D ARMA power spectra estimated by using the proposed algorithm are converged to the original ones. This is a preview of subscription content, log in to check access. Rent this article via DeepDyve. Google Scholar. Tekalp H.
Kaufman J. Argenti M. Barni V. Cappellini A. Letters 27 — Biemond F. Putten Particle Van Der J. Kaufman A. Premaratne C. Chaparro E. Nijim S. Stearns W. Chung M. Hall G. Cadzow K. Zhang J. Miyazaki N. Michael H. Dudgeon R. Kaderli A. Oppenheim R.
El-Jaroudi J. Kayran S. Kayran I. Download references. Correspondence to Aydin Kizilkaya. Reprints and Permissions. Kizilkaya, A. Multidim Syst Sign Process 16, — Download citation. Received : 22 November Revised : 22 November Accepted : 03 March Issue Date : October Search SpringerLink Search.
Abstract This paper considers the problem of estimating the moving average MA parameters of a two-dimensional autoregressive moving average 2-D ARMA model.
Immediate online access to all issues from Subscription will auto renew annually. References 1. You can also search for this author in PubMed Google Scholar. View author publications. Rights and permissions Reprints and Permissions. About this article Cite this article Kizilkaya, A.
ARMA-cepstrum Recursion Algorithm for the Estimation of the MA Parameters of 2-D ARMA Models
Skip to Main Content. Also published under: A. Kayran, Ahmet H. Kayran, Hamdi Kayran, A. Kayran, A.
Ahmet Hamdi Kayran
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