DocumentCode
2729892
Title
Automatic recognition of the sonar signals using neural network
Author
Abdel Allim, Onsy ; Hashem, Hassan Fahmy
Author_Institution
Dept. of Electr. Eng., Alexandria Univ., Egypt
fYear
1998
fDate
24-26 Feb 1998
Abstract
Much work has been performed in the area of automatic recognition of sonar signals in order 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 potential as possible implementation solutions for the recognition functions of targets with complex geometrical shape
Keywords
feature extraction; neural nets; sonar signal processing; sonar target recognition; automatic recognition; geometrical shape; neural network; recognition functions; sonar signals; targets; Artificial neural networks; Discrete cosine transforms; Feature extraction; Neural networks; Prediction methods; Predictive models; Shape; Sonar detection; Target recognition; Underwater tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Radio Science Conference, 1998. NRSC '98. Proceedings of the Fifteenth National
Conference_Location
Cairo
Print_ISBN
0-7803-5121-5
Type
conf
DOI
10.1109/NRSC.1998.711495
Filename
711495
Link To Document