| 基于小波域和BP分类器的舰船目标的分类研究 |
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| 引用本文： | 潘琳,张效民,刘义海.基于小波域和BP分类器的舰船目标的分类研究[J].电声技术,2012,36(8):54-57. |
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| 作者姓名： | 潘琳 张效民 刘义海 |
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| 作者单位： | 西北工业大学航海学院,陕西西安,710072 |
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| 摘 要： | 利用小波变换处理水下舰船的辐射噪声,提取舰船辐射噪声的小波子带能量,作为目标特征,结合BP神经网络分类器,实现目标分类.通过大量的实验仿真验证,使用小波子带能量作为目标的特征,将BP神经网络作为分类器识别目标的分类方法是有效的,具有良好的工程应用前景.
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| 关 键 词： | 小波变换 特征提取 BP神经网络 |
The Classification of the Ship Target Based on the Wavelet Domain and BP Classifier |
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| PAN Lin
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ZHANG Xiaomin
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LIU Yihai.The Classification of the Ship Target Based on the Wavelet Domain and BP Classifier[J].Audio Engineering,2012,36(8):54-57. |
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| Authors: | PAN Lin ZHANG Xiaomin LIU Yihai |
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| Affiliation: | (College of Marine Engineer,Northwestern Polytechnical University,Xi’an 710072,China) |
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| Abstract: | The wavelet sub-band energy,as the target feature,is extracted from ship radiation noise by wavelet transformation.Combined with BP neural network classifier to realize target identification.Through a large number of experimental simulation test.It is effective to use wavelet sub-band energy as a target features and regard the BP neural network classifier recognition as a target classification,and this method has good engineering application prospects. |
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| Keywords: | wavelet transform feature extraction BP nervous network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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