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Proceedings Paper

Empirical investigation of iterative maximum-entropy spectral estimation of one-dimensional random processes
Author(s): Yuen-Pin Yeap; E. David Jansing; 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. The Lim-Malik algorithm is compared to the Burg algorithm on a number of analytic as well as practical one-dimensional signals. We study the convergence of the Lim-Malik algorithm and suggest some criteria to assure convergence in the one- dimensional case.

Paper Details

Date Published: 16 September 1992
PDF: 11 pages
Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); doi: 10.1117/12.138282
Show Author Affiliations
Yuen-Pin Yeap, Univ. of Louisville (United States)
E. David Jansing, Univ. of Louisville (United States)
Aly A. Farag, Univ. of Louisville (United States)


Published in SPIE Proceedings Vol. 1700:
Automatic Object Recognition II
Firooz A. Sadjadi, Editor(s)

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