Publication detail

Klasifikačné príznaky predspracovania akustických signálov

Authors: Nebus František | Křupka Jiří

Year: 2004

Type of publication: článek ve sborníku

Name of source: The Air Defence Trends 2004

Publisher name: Fakulta protivzdušnej obrany, Vojenská akadémia v Liptovskom Mikuláši

Place: Liptovský Mikuláš

Page from-to: 5-17

Titles:

Language	Name	Abstract	Keywords
cze	Klasifikačné príznaky predspracovania akustických signálov	Abstract: This paper presents possibilities of acoustic signal classification and acoustic signal preprocessing. The classificator can be realized on the basis of feed forward neural networks for two special types of signal (an explosion and a shot) from self propelled howitzer ZUZANA. For signal preprocessing it is suitable fingerprint in framed, time-frequency representation of acoustic signal. Algorithms were realized in the MATLAB-Simulink with the data acquired during battlefield situation. The paper represents partial outcome of research work SONAR, sponsored by Ministry of Defense of Slovak Republic.
eng	Classification attributes of acoustic signal preprocessing	Abstract: This paper presents possibilities of acoustic signal classification and acoustic signal preprocessing. The classificator can be realized on the basis of feed forward neural networks for two special types of signal (an explosion and a shot) from self propelled howitzer ZUZANA. For signal preprocessing it is suitable fingerprint in framed, time-frequency representation of acoustic signal. Algorithms were realized in the MATLAB-Simulink with the data acquired during battlefield situation. The paper represents partial outcome of research work SONAR, sponsored by Ministry of Defense of Slovak Republic.	acoustic signal classification, acoustic signal preprocessing, feed forward neural networks, MATLAB, Simulink

Search