Theory of stochastic signal processing for the optimization of CXRS explosives detection

Thomas Blaffert

doi:10.1117/12.219589

15 September 1995 Theory of stochastic signal processing for the optimization of CXRS explosives detection

Thomas Blaffert

Proceedings Volume 2511, Law Enforcement Technologies: Identification Technologies and Traffic Safety; (1995) https://doi.org/10.1117/12.219589
Event: European Symposium on Optics for Environmental and Public Safety, 1995, Munich, Germany

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.

Citation Download Citation

Thomas Blaffert "Theory of stochastic signal processing for the optimization of CXRS explosives detection", Proc. SPIE 2511, Law Enforcement Technologies: Identification Technologies and Traffic Safety, (15 September 1995); https://doi.org/10.1117/12.219589

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