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Proceedings Paper

Optimum receiver for pattern recognition with multiplicative, additive, and nonoverlapping background noise
Author(s): Bahram Javidi; Nasser Towghi
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Paper Abstract

In this paper we design an optimum receiver to detect a pattern or a reference signal. We design a receiver which detects the signal distorted by a multiplicative noise on the signal itself, as well as by additive noise and by non- overlapping scene noise. We use hypothesis testing to determine the location of a target buried in multiplicative, additive, and non-overlapping background noise. We also consider the case when the statistics of the multiplicative noise are not available. When additive noise is present, the usual maximum likelihood estimation method gives rise to nonlinear system of equations. We present a vectorial data fitting method to estimate the unknown parameters. Using computer simulations we show that, for the images tested here, the optimum receiver performs better than some of the existing receivers.

Paper Details

Date Published: 9 March 1999
PDF: 14 pages
Proc. SPIE 3715, Optical Pattern Recognition X, (9 March 1999); doi: 10.1117/12.341287
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)
Nasser Towghi, Univ. of Connecticut (United States)

Published in SPIE Proceedings Vol. 3715:
Optical Pattern Recognition X
David P. Casasent; Tien-Hsin Chao, Editor(s)

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