DocumentCode
2227489
Title
Automatic recognition of the sonar signals using neural network
Author
Alim, O.A. ; Hashem, Eng Hassan Fahmy
Author_Institution
Dept. of Electr. Eng., Alexandria Univ., Egypt
fYear
1997
fDate
9-12 Sep 1997
Firstpage
740
Abstract
Much work has been performed in the area of automatic recognition of the sonar signals to reduce the operator load when confronted with many beams of data concurrently. This paper describes a neural network system which is capable of recognizing different types of sonar signals. The given results show that neural network techniques have the potential as possible implementation solutions for the recognition of a target with complex geometrical shape
Keywords
backpropagation; discrete cosine transforms; feature extraction; neural nets; pattern classification; pattern recognition; prediction theory; sonar signal processing; DCT; automatic recognition; backpropagation neural network; complex geometrical shape; feature vectors; linear prediction system; sonar signals; target recognition; Artificial neural networks; Discrete cosine transforms; Feature extraction; Neural networks; Predictive models; Shape; Sonar detection; Target recognition; Underwater tracking; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
Print_ISBN
0-7803-3676-3
Type
conf
DOI
10.1109/ICICS.1997.652076
Filename
652076
Link To Document