By Topic

A generalized two-dimensional frequency domain least square algorithm for ARMA system modeling

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Qingwen Zhang ; Dept. of Electr. & Comput. Eng., Univ. of Central Florida, Orlando, FL, USA ; Roman, J.R. ; Davis, D.W. ; Mikhael, W.B.

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.

Published in:

Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on  (Volume:2 )

Date of Conference:

3-6 Aug. 1997