Title

Two-dimensional spectral representation with applications

Abstract

A linear technique for two-dimensional (2D), frequency domain, system modeling has been successfully developed in [1]. Based on the same structure, which is the equation error model, a two-dimensional least-square spectral representation algorithm is presented in this paper. The proposed algorithm efficiently characterizes the 2D complex spectra by a 2D all-pole function with real coefficients. The location, magnitude and phase of the dominant transform components can be exactly retrieved in the 2D frequency domain. It is shown that the number of coefficients of the approximating function is (2M + 1), where M is the number of dominant transform components. To illustrate the technique's accuracy and efficiency, its application to image representation and reconstruction is given.

Publication Date

12-1-1994

Publication Title

Proceedings - IEEE International Symposium on Circuits and Systems

Volume

2

Number of Pages

589-592

Document Type

Article; Proceedings Paper

Identifier

scopus

Personal Identifier

scopus

Socpus ID

0028585176 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0028585176

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