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Proceedings Paper

Theory of stochastic signal processing for the optimization of CXRS explosives detection
Author(s): Thomas Blaffert
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Paper Abstract

The theory of stochastic signal processing describes signals, which contain statistical fluctuations, by their statistical properties like mean and variance. Since the fluctuations, or simply the noise, in coherent x-ray scatter signals are known to follow Poisson statistics, this theory can be used to derive detection properties under different system conditions. This paper will show how the Poisson-noise can be transformed into white noise and that a false detection rate for signals containing white noise can be calculated. Furthermore the application to the optimization of collimator design will be studied.

Paper Details

Date Published: 15 September 1995
PDF: 12 pages
Proc. SPIE 2511, Law Enforcement Technologies: Identification Technologies and Traffic Safety, (15 September 1995); doi: 10.1117/12.219589
Show Author Affiliations
Thomas Blaffert, Phillips Research Labs. (Germany)

Published in SPIE Proceedings Vol. 2511:
Law Enforcement Technologies: Identification Technologies and Traffic Safety
Bernard Dubuisson; Geoffrey L. Harding, Editor(s)

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