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Analysis of Linear Predictive Coefficients for Gunshot Detection Based on Neural Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU123948" target="_blank" >RIV/00216305:26220/17:PU123948 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ISIE.2017.8001552" target="_blank" >http://dx.doi.org/10.1109/ISIE.2017.8001552</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ISIE.2017.8001552" target="_blank" >10.1109/ISIE.2017.8001552</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of Linear Predictive Coefficients for Gunshot Detection Based on Neural Networks

  • Original language description

    This work deals with analysis of the linear predictive coefficients with respect to their use for acoustic gunshot detection. First, coefficient stability was observed when changing length and position of an analysed signal frame. Then, the optimal prediction order was investigated. Finally, false alarms and correct gunshot detections were tested for various numbers of coefficients. The best experimental results achieved were 8.6% false alarm rate and 88% gunshot detection rate.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 2017 IEEE International Symposium on Industrial Electronics

  • ISBN

    978-1-5090-1411-8

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1961-1965

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Edinburgh

  • Event date

    Jun 19, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000426794000305