Title

2-Dimensional, Frequency-Domain, Adaptive System Modeling Using 3-Dimensional Spatiotemporal Inputs

Title - Alternative

IEEE Trans. Circuits Syst. II-Analog Digit. Signal Process.

Keywords

Time-Varying Signals; Representation; Filter; Speech; Engineering, Electrical & Electronic

Abstract

In this paper, an adaptive, frequency domain, steepest descent algorithm for two-dimensional (2-D) system modeling is presented. The algorithm is derived here for the equation error model, and models the 2-D spatially linear and invariant unknown system by a 2-D auto-regressive, moving-average (ARMA) process. The proposed technique is implemented in the 3-D spatiotemporal domain. At each iteration, corresponding to a given pair of input and output images, the algorithm is formulated to minimize the energy of an error-function in the frequency-domain by adjusting the coefficients of the 2-D ARMA model. Signal dependent, optimal convergence factors, referred to as the homogenous convergence factors, are developed. 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.

Publication Title

Ieee Transactions on Circuits and Systems Ii-Analog and Digital Signal Processing

Volume

42

Issue/Number

5

Publication Date

1-14-1995

Document Type

Article

Language

English

First Page

317

Last Page

325

WOS Identifier

WOS:A1995QZ03000002

ISSN

1057-7130

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