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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