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

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the Fourth IASTED International Conference on Circuits, Signals, and Systems, CSS 2006
Pages263-268
Number of pages6
Publication statusPublished - 2006
Event4th IASTED International Conference on Circuits, Signals, and Systems, CSS 2006 - San Francisco, CA, United States
Duration: 20 Nov 200622 Nov 2006

Publication series

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

Conference

Conference4th IASTED International Conference on Circuits, Signals, and Systems, CSS 2006
Country/TerritoryUnited States
CitySan Francisco, CA
Period20/11/0622/11/06

Keywords

  • 2-D ARMA model
  • 2-D equivalent MA model
  • Parameter and spectral estimation
  • Quarter-plane region of support

Fingerprint

Dive into the research topics of 'Estimation of the 2-D ARMA model parameters based on the equivalent MA approach'. Together they form a unique fingerprint.

Cite this