DocumentCode
2778721
Title
Automatic classification of underwater sonar signals
Author
Hashem, Hassan Fahmy
Author_Institution
Alexandria High Inst. of Technol.
Volume
3
fYear
2004
fDate
9-12 Nov. 2004
Firstpage
1219
Abstract
Much work has been performed recently in the area of automatic recognition of the sonar signals to reduce the operator load when confronted with many beams of data concurrently. In this paper we applied and compared between different feature extraction methods such as wavelet basis method, discrete cosine transform method (DCT) and linear prediction method (LP) and then we applied neural network techniques to the processing of sonar signals classification
Keywords
discrete cosine transforms; feature extraction; geophysical signal processing; neural nets; oceanographic techniques; signal classification; sonar signal processing; wavelet transforms; automatic signal classification; automatic wavelet selection; discrete cosine transform method; feature extraction; linear prediction method; neural network; operator load; sonar signal processing; wavelet basis method; Artificial neural networks; Discrete cosine transforms; Discrete wavelet transforms; Neural networks; Pattern classification; Predictive models; Sonar applications; Target recognition; Vectors; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS '04. MTTS/IEEE TECHNO-OCEAN '04
Conference_Location
Kobe
Print_ISBN
0-7803-8669-8
Type
conf
DOI
10.1109/OCEANS.2004.1405753
Filename
1405753
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