| 被动声纳信号分类特征提取的研究 |
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| 引用本文： | 杨期鹤 栗华. 被动声纳信号分类特征提取的研究[J]. 东南大学学报(自然科学版), 1999, 29(6): 16-20 |
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| 作者姓名： | 杨期鹤 栗华 |
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| 作者单位： | 东南大学无线电工程系!南京210096 |
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| 摘 要： | 对被动声纳信号进行了分析和特征提取，基于听觉系统识别声音信号的原理，提出了一种新颖的平稳恒Ｑ特征，并给出了距离指数和识别指数２种更为合理的评价方法。实验结果表明本文提出的平稳恒Ｑ特征较原有几种典特征，具有良好的分类正确性。／
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| 关 键 词： | 被动声纳信号 分类 特征提取 谱估计 小波变换 |
Feature Extraction for Passive Sonar Signal Classfication |
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| Yang Qihe Li Hua. Feature Extraction for Passive Sonar Signal Classfication[J]. Journal of Southeast University(Natural Science Edition), 1999, 29(6): 16-20 |
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| Authors: | Yang Qihe Li Hua |
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| Abstract: | An analysis of passive sonar signal and extraction of their features is described.By researching the principle of hearing system in identification of sound signal, a new steady constant Q feature is proposed. Two more reasonable evaluation methods of distance and identification index are given. Results of the experiment show that the steady constant Q feature method has higher correct classification rate. |
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| Keywords: | passive sonar signal classification feature extraction spectrum estimation wavelet transform speech identification artificial neural network |
| 本文献已被 CNKI 维普 等数据库收录！ |
