Title
Generalized two-dimensional frequency domain least square algorithm for ARMA system modeling
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.
Publication Date
12-1-1997
Publication Title
Midwest Symposium on Circuits and Systems
Volume
2
Number of Pages
965-968
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0031380405 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0031380405
STARS Citation
Zhang, Qingwen; Roman, Jaime R.; and Davis, Dennis W., "Generalized two-dimensional frequency domain least square algorithm for ARMA system modeling" (1997). Scopus Export 1990s. 3086.
https://stars.library.ucf.edu/scopus1990/3086