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Journal Article

Citation

Luzi L, Gonzalez E, Bruillard P, Prowant M, Skorpik J, Hughes M, Child S, Kist D, McCarthy JE. J. Acoust. Soc. Am. 2016; 139(5): 2723.

Affiliation

Department of Mathematics, Washington University in Saint Louis, Campus Box 1146, St. Louis, Missouri 63130, USA.

Copyright

(Copyright © 2016, American Institute of Physics)

DOI

10.1121/1.4948994

PMID

27250165

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.


Language: en

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