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Proceedings Paper

Convergence properties of iterative maximum-entropy spectral estimation
Author(s): E. David Jensing; Yuen-Pin Yeap; Aly A. Farag
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Paper Abstract

In this paper we provide the results of an empirical investigation of iterative maximum entropy spectrum estimation in two dimensions. The Lim-Malik algorithm is compared to the classical periodogram algorithm on a number of analytic as well as practical two-dimensional signals. We study the convergence of the Lim-Malik algorithm and suggest some criterion to assure convergence in the two-dimensional case.

Paper Details

Date Published: 1 April 1993
PDF: 11 pages
Proc. SPIE 1824, Applications of Signal and Image Processing in Explosives Detection Systems, (1 April 1993); doi: 10.1117/12.143237
Show Author Affiliations
E. David Jensing, Univ. of Louisville (United States)
Yuen-Pin Yeap, Univ. of Louisville (United States)
Aly A. Farag, Univ. of Louisville (United States)

Published in SPIE Proceedings Vol. 1824:
Applications of Signal and Image Processing in Explosives Detection Systems
James M. Connelly; Shiu M. Cheung, Editor(s)

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