Estimation of the 2-D ARMA model parameters based on the equivalent MA approach

A. Kizilkaya*, C. M. Yetiş, A. H. Kayran, S. Şeker

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

4 Atıf (Scopus)

Özet

The parameter estimation problem of a two-dimensional autoregressive moving average (2-D ARMA) model having a quarter-plane (QP) region of support (ROS) driven by an unobservable white noise process is addressed. For the solution of this problem, we have considered the relation between the parameters of this ARMA model and its equivalent moving average (EMA) model. On the basis of this relation, a new computationally efficient algorithm is proposed for determining the parameters of the QP 2-D ARMA model from the coefficients of the 2-D EMA model. Simulation results and comparisons demonstrating the performance of the new algorithm are included.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceedings of the Fourth IASTED International Conference on Circuits, Signals, and Systems, CSS 2006
Sayfalar263-268
Sayfa sayısı6
Yayın durumuYayınlandı - 2006
Etkinlik4th IASTED International Conference on Circuits, Signals, and Systems, CSS 2006 - San Francisco, CA, United States
Süre: 20 Kas 200622 Kas 2006

Yayın serisi

AdıProceedings of the Fourth IASTED International Conference on Circuits, Signals, and Systems, CSS 2006

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???event.eventtypes.event.conference???4th IASTED International Conference on Circuits, Signals, and Systems, CSS 2006
Ülke/BölgeUnited States
ŞehirSan Francisco, CA
Periyot20/11/0622/11/06

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