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Proceedings Paper

Detection of signals modeled by interaction point processes using a Poisson approximation
Author(s): Majeed M. Hayat; John A. Gubner; Wei-Bin Chang
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Paper Abstract

The performance of the likelihood ratio test is considered for point processes with piecewise constant interaction functions, and point processes featuring a reduced number of isolated-points. A Poisson approximation of the sufficient statistics is used to evaluate the performance. The approximations are compared with empirical results generated using Markov chain Monte Carlo simulation.

Paper Details

Date Published: 22 July 1997
PDF: 6 pages
Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); doi: 10.1117/12.280881
Show Author Affiliations
Majeed M. Hayat, Univ. of Dayton (United States)
John A. Gubner, Univ. of Wisconsin/Madison (United States)
Wei-Bin Chang, Univ. of Wisconsin/Madison (United States)


Published in SPIE Proceedings Vol. 3079:
Detection and Remediation Technologies for Mines and Minelike Targets II
Abinash C. Dubey; Robert L. Barnard, Editor(s)

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