DocumentCode
1966864
Title
All neural network sonar discrimination system
Author
Cottle, D.W. ; Hamilton, D.J.
Author_Institution
Raytheon Submarine Signal Div., Portsmouth, RI, USA
fYear
1991
fDate
15-17 Aug 1991
Firstpage
13
Lastpage
19
Abstract
The authors present a summary of the status of an ongoing investigation into how effective various neural network paradigms are in military sonar system functions. Specifically, the authors investigate the potential use of neural network technology in the detection, feature extraction, feature optimization, and classification portions of a sonar signal discrimination system. Preliminary results given suggest that neural network techniques have potential as implementation solutions for at least the detection and classification functions
Keywords
acoustic signal processing; optimisation; pattern recognition; signal detection; sonar; underwater sound; classification; detection; feature extraction; feature optimization; military sonar system functions; neural network paradigms; sonar discrimination system; Acoustic beams; Computer vision; Feature extraction; Filtering; Fuzzy logic; Marine technology; Neural networks; Signal processing; Sonar detection; Underwater vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Ocean Engineering, 1991., IEEE Conference on
Conference_Location
Washington, DC
Print_ISBN
0-7803-0205-2
Type
conf
DOI
10.1109/ICNN.1991.163322
Filename
163322
Link To Document