| 基于小波变换的特征提取方法分析 |
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| 引用本文： | 张静远,张冰,蒋兴舟.基于小波变换的特征提取方法分析[J].信号处理,2000,16(2):156-162. |
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| 作者姓名： | 张静远 张冰 蒋兴舟 |
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| 作者单位： | 海军工程学院兵器工程系 |
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| 基金项目： | 本课题研究受到“水中兵器军队重点实验室”资助 |
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| 摘 要： | 论文提出并讨论了四种基于小波变换的特征提取方法基于小波变换的模极大值特征、基于小波分解的能量特征、基于小波包分解的熵特征以及基于适应性小波网络的特征提取方法，阐述了各方法的基本原理及实现过程，并将其用于水声信号的特征提取，通过分类结果比较，分析了各种方法的特点及适用性。
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| 关 键 词： | 目标识别 特征提取 小波变换 分类器 声纳 |
Analyses of Feature Extraction Methods Based on Wavelet Transform |
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| Zhang Jingyuan,Zhang Bing,Jiang Xingzhou.Analyses of Feature Extraction Methods Based on Wavelet Transform[J].Signal Processing,2000,16(2):156-162. |
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| Authors: | Zhang Jingyuan Zhang Bing Jiang Xingzhou |
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| Affiliation: | Zhang Jingyuan
,Zhang Bing
,Jiang Xingzhou
;(Department of ordnance Engineering. Naval Academy of Engineering) |
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| Abstract: | This paper presents four feature extraction methods based on wavelet transformthe maxima feature,the energy feature,the entropy feature based on wavelet packets analyze and the wavelet network feature.The basic principle and realization process of every method are detailed. The features and applicability of every method are analyzed through the analysis of classifying results. |
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| Keywords: | Target Recognition Feature extraction Wavelet Transform Classifier sonar |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
