Publication detail

Acoustic Signal Classification at Battlefield on Neural Network Basis

Authors: Nebus František | Křupka Jiří

Year: 2004

Type of publication: článek ve sborníku

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

Publisher name: International Institute of Informatics and Systemics

Place: Austin, Texas

Page from-to: 310-313

Titles:

Language	Name	Abstract	Keywords
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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