Originally Published In
Journal of the Acoustical Society of America 139, 2723 (2016); http://dx.doi.org/10.1121/1.4948994
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.
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.