Document Type
Article
Publication Date
5-2016
Originally Published In
Journal of the Acoustical Society of America 139, 2723 (2016); http://dx.doi.org/10.1121/1.4948994
Abstract
Two different signal processing algorithms are described for detection and classification of acoustic signals generated by firearm discharges in small enclosed spaces. The first is based on the logarithm of the signal energy. The second is a joint entropy. The current study indicates that a system using both signal energy and joint entropy would be able to both detect weapon discharges and classify weapon type, in small spaces, with high statistical certainty.
ORCID
http://orcid.org/0000-0003-0036-7606 [McCarthy]
Recommended Citation
Luzi, Lorenzo; Gonzalez, Eric; Bruillard, Paul; Prowant, Matthew; Skorpik, James; Hughes, Michael; Child, Scott; Kist, Duane; and McCarthy, John E., "Acoustic firearm discharge detection and classification in an enclosed environment" (2016). Mathematics Faculty Publications. 30.
https://openscholarship.wustl.edu/math_facpubs/30
Embargo Period
11-13-2016
Included in
Applied Mathematics Commons, Other Civil and Environmental Engineering Commons, Other Electrical and Computer Engineering Commons
Comments
Copyright 2016 U.S. Government. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the Acoustical Society of America. The following article appeared in Journal of the Acoustical Society of America 139, 2723 (2016); http://dx.doi.org/10.1121/1.4948994.