Singularity study of underwater acoustic signals with wavelet transform

被引：0
|
作者：
Zhang, X.L. [1 ]
Sun, J.C. [1 ]
机构：
[1] Coll. of Marine Eng., Northwestern Polytech. Univ., Xi'an 710072, China
来源：
Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University | 2000年 / 18卷 / 04期
关键词：
Classification (of information) - Feature extraction - Pattern recognition - Wavelet transforms;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The key to a underwater target recognition and classification is a feature extraction. It was proposed that the Lipschitz singularity exponent of the underwater acoustic signal is considered as the feature parameter of target recognition. The relationship between wavelet transform and Lipschitz exponent was discussed. The base functions of wavelet transform were selected based on the vanishing moment requirement. Simulation results show that for different acoustic signal, the corresponding energy Lipschitz exponents are distributed over different ranges.
引用
收藏
页码：608 / 611
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