Convergence properties of iterative maximum-entropy spectral estimation

E. David Jensing; Yuen-Pin Yeap; Aly A. Farag

doi:10.1117/12.143237

1 April 1993 Convergence properties of iterative maximum-entropy spectral estimation

E. David Jensing, Yuen-Pin Yeap, Aly A. Farag

Proceedings Volume 1824, Applications of Signal and Image Processing in Explosives Detection Systems; (1993) https://doi.org/10.1117/12.143237
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

E. David Jensing, Yuen-Pin Yeap, and Aly A. Farag "Convergence properties of iterative maximum-entropy spectral estimation", Proc. SPIE 1824, Applications of Signal and Image Processing in Explosives Detection Systems, (1 April 1993); https://doi.org/10.1117/12.143237

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