Publikace detail

Acoustic Signal Classification at Battlefield on Neural Network Basis

Autoři: Nebus František | Křupka Jiří

Rok: 2004

Druh publikace: článek ve sborníku

Název zdroje: Proceeding of the International Conference on Computing, Communications and Control Technologies - CCCT 2004

Název nakladatele: International Institute of Informatics and Systemics

Místo vydání: Austin, Texas

Strana od-do: 310-313

Tituly:

Jazyk	Název	Abstrakt	Klíčová slova
cze	Acoustic Signal Classification at Battlefield on Neural Network Basis	This paper presents possibility of acoustic signal classification on the basis of neural network for two special types of signal (an explosion and a shot). The algorithm was realized in the MATLAB with the data acquired during battlefield situation. Significant portion of the proposed algorithm is signal preprocessing and suitable signal representation. The paper represents partial outcome of research work SONAR, sponsored by Ministry of Defense of Slovak Republic.
eng	Acoustic Signal Classification at Battlefield on Neural Network Basis	This paper presents possibility of acoustic signal classification on the basis of neural network for two special types of signal (an explosion and a shot). The algorithm was realized in the MATLAB with the data acquired during battlefield situation. Significant portion of the proposed algorithm is signal preprocessing and suitable signal representation. The paper represents partial outcome of research work SONAR, sponsored by Ministry of Defense of Slovak Republic.	ground passive sonar, acoustic surveillance, neural networks, MATLAB

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