TY  - JOUR
PY  - 2016//
TI  - Acoustic firearm discharge detection and classification in an enclosed environment
JO  - Journal of the Acoustical Society of America
A1  - Luzi, Lorenzo
A1  - Gonzalez, Eric
A1  - Bruillard, Paul
A1  - Prowant, Matthew
A1  - Skorpik, James
A1  - Hughes, Michael
A1  - Child, Scott
A1  - Kist, Duane
A1  - McCarthy, John E.
SP  - 2723
EP  - 2723
VL  - 139
IS  - 5
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 0001-4966
UR  - http://dx.doi.org/10.1121/1.4948994
ID  - ref1
ER  -