Acoustic firearm discharge detection and classification in an enclosed environment.

نویسندگان

  • Lorenzo Luzi
  • Eric Gonzalez
  • Paul Bruillard
  • Matthew Prowant
  • James Skorpik
  • Michael Hughes
  • Scott Child
  • Duane Kist
  • John E McCarthy
چکیده

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.

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عنوان ژورنال:
  • The Journal of the Acoustical Society of America

دوره 139 5  شماره 

صفحات  -

تاریخ انتشار 2016