Publikace detail

Klasifikačné príznaky predspracovania akustických signálov

Autoři: Nebus František | Křupka Jiří

Rok: 2004

Druh publikace: článek ve sborníku

Název zdroje: The Air Defence Trends 2004

Název nakladatele: Fakulta protivzdušnej obrany, Vojenská akadémia v Liptovskom Mikuláši

Místo vydání: Liptovský Mikuláš

Strana od-do: 5-17

Tituly:

Jazyk	Název	Abstrakt	Klíčová slova
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

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