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 :
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