Automatic classification of underwater sonar signals

被引：0

作者：

Hashem, HF ^{[1
]}

机构：

[1] Alexandria High Inst Technol, Alexandria, Egypt

来源：

OCEANS '04 MTS/IEEE TECHNO-OCEAN '04, VOLS 1- 2, CONFERENCE PROCEEDINGS, VOLS. 1-4 | 2004年

关键词：

wavelets; sonar signal; automatic wavelet selection; neural network;

D O I：

暂无

中图分类号：

P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

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 (D.C.T) and Linear prediction method (LP) and then we applied neural network techniques to the processing of sonar signals classification.

引用

页码：1219 / 1223

页数：5

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