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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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e-ISSN
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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