Author's School

Arts & Sciences

Author's Department

Mathematics

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.

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.

DOI

10.1121/1.4948994

Embargo Period

11-13-2016