Title

Existence, Uniqueness And Convergence Properties Of A Linear Optimization Technique For Two-Dimensional Signal And System Modeling With Rational Functions

Abstract

A two-dimensional (2-D) signal or image can be represented by a rational complex function. Also, a two-dimensional, linear and shift invariant system can be modeled by a two-dimensional auto-regressive, moving-averaging (ARMA) process. A recently proposed linear technique for image or 2-D system representation, by using a rational function, is briefly presented. This method, which is based on the recursive like structure or equationary model, can approximate the unknown 2-D system transfer function, or the transform of an image, in the frequency domain in the least-square sense. This paper will discuss the important existence, uniqueness and convergence properties associated with this technique. In addition, design examples are also given to show the excellent performance of the algorithm.

Publication Date

1-1-1993

Publication Title

Proceedings - IEEE International Symposium on Circuits and Systems

Volume

1

Number of Pages

323-326

Document Type

Article; Proceedings Paper

Identifier

scopus

Personal Identifier

scopus

Socpus ID

0027211617 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0027211617

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