By Topic

Two new model order selection approaches for ARMA system modeling using the two-dimensional frequency domain least square algorithm

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
$33 $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)
Q. Zhang ; Dept. of Electr. & Comput. Eng., Central Florida Univ., Orlando, FL, USA ; W. B. Mikhael ; J. R. Roman ; D. W. Davis

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 does not give any explicit model order selection method. In this paper, two approaches for model order selection for the 2D-FD-LS algorithm are proposed. One is a rank-checking method, and the other is a grouping measure based method. Analysis and simulation results demonstrate the applicability of these new approaches. The first approach is recommended for deterministic (known spectrum) applications, while the second approach is more suitable for the random case

Published in:

Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on  (Volume:5 )

Date of Conference:

31 May-3 Jun 1998