Title
Two new model order selection approaches for ARMA system modeling using the two-dimensional frequency domain least square algorithm
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 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.
Publication Date
1-1-1998
Publication Title
Proceedings - IEEE International Symposium on Circuits and Systems
Volume
5
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0031623412 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0031623412
STARS Citation
Zhang, Qingwen; Mikhael, Wasfy B.; and Roman, Jaime R., "Two new model order selection approaches for ARMA system modeling using the two-dimensional frequency domain least square algorithm" (1998). Scopus Export 1990s. 3470.
https://stars.library.ucf.edu/scopus1990/3470