DocumentCode
2906483
Title
Two-dimensional least-square ARMA modeling in the transform domain
Author
Mikhael, Wasfy B. ; Yu, Haoping
Author_Institution
Dept. of Electr. Eng., Univ. of Central Florida, Orlando, FL, USA
fYear
1991
fDate
4-6 Nov 1991
Firstpage
650
Abstract
An algorithm for two-dimensional autoregressive moving average (ARMA) and moving average (MA) modeling in the Fourier transform domain that can be implemented in other domains is presented. The algorithm derived here is based on the equationary model (recursive-like structure) which can match, in the least square sense, the unknown system. Simulation examples of two-dimensional system modeling are given to demonstrate the performance of this algorithm
Keywords
fast Fourier transforms; least squares approximations; signal processing; 2D FFT; 2D least square; ARMA; Fourier transform domain; MA; algorithm; autoregressive moving average; equationary model; moving average; performance; signal processing; simulation; two-dimensional system modeling; Communication system control; Control systems; Equations; Fourier transforms; Frequency domain analysis; Modeling; Noise cancellation; Signal processing; Signal processing algorithms; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
0-8186-2470-1
Type
conf
DOI
10.1109/ACSSC.1991.186528
Filename
186528
Link To Document