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
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;
Conference_Titel :
Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
Print_ISBN :
0-7803-3676-3
DOI :
10.1109/ICICS.1997.652076
