Title :
A generalized two-dimensional frequency domain least square algorithm for ARMA system modeling
Author :
Zhang, Qingwen ; Roman, Jaime R. ; Davis, Dennis W. ; Mikhael, Wasfy B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Central Florida, Orlando, FL, USA
Abstract :
The linear algorithm for two-dimensional least square approximation in the frequency domain (2D-FD-LS) is well-established and has been applied successfully to 2D signal representation and image noise cancellation, but it has some limitations. In this paper, a generalized version of the 2D-FD-LS algorithm is developed to overcome such limitations. The generalized version of the 2D-FD-LS algorithm includes extension to complex-valued data and extension to a more general model structure. In addition, a simple model order selection method is presented. An example for system modeling is given also to demonstrate proof-of-concept of the generalized 2D-FD-LS algorithm and the model order selection method.
Keywords :
autoregressive moving average processes; frequency-domain analysis; least squares approximations; signal representation; ARMA system modeling; complex-valued data; image noise cancellation; model order selection method; proof-of-concept; signal representation; two-dimensional frequency domain least square algorithm; Approximation algorithms; Equations; Frequency domain analysis; Least squares approximation; Least squares methods; Modeling; Noise cancellation; Radar signal processing; Signal processing algorithms; Signal representations;
Conference_Titel :
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Print_ISBN :
0-7803-3694-1
DOI :
10.1109/MWSCAS.1997.662236
