Title
Adaptive, Frequency Domain, 2-D Modeling Using Spatiotemporal Signals
Abbreviated Journal Title
J. Circuits Syst. Comput.
Keywords
Computer Science, Hardware & Architecture; Engineering, Electrical &; Electronic
Abstract
In this paper, an adaptive, frequency domain, steepest descent algorithm for two-dimensional (2-D) system modeling is presented. Based on the equation error model, the algorithm, which characterizes the 2-D spatially linear and invariant unknown system by a 2-D auto-regressive, moving-average (ARMA) process, is derived and implemented in the 3-D spatiotemporal domain. At each iteration, corresponding to a given pair of input and output 2-D signals, the algorithm is formulated to minimize the error-function's energy in the frequency domain by adjusting the 2-D ARMA model parameters. A signal dependent, optimal convergence factor, referred to as the homogeneous convergence factor, is developed. It is the same for all the coefficients but is updated once per iteration. The resulting algorithm is called the Two-Dimensional, Frequency Domain, with Homogeneous mu*, Adaptive Algorithm (ZD-FD-HAA). In addition, the algorithm is implemented using the 2-D Fast Fourier Transform (FFT) to enhance the computational efficiency. Computer simulations demonstrate the algorithm's excellent adaptation accuracy and convergence speed. For illustration, the proposed algorithm is successfully applied to modeling a time varying 2-D system.
Journal Title
Journal of Circuits Systems and Computers
Volume
6
Issue/Number
4
Publication Date
1-1-1996
Document Type
Article
Language
English
First Page
351
Last Page
358
WOS Identifier
ISSN
0218-1266
Recommended Citation
"Adaptive, Frequency Domain, 2-D Modeling Using Spatiotemporal Signals" (1996). Faculty Bibliography 1990s. 1691.
https://stars.library.ucf.edu/facultybib1990/1691
Comments
Authors: contact us about adding a copy of your work at STARS@ucf.edu