| 陈凤林,林正青,彭圆,牟林,张凤珍,王磊.舰船辐射噪声的高阶统计量特征提取及特征压缩[J].,2010,29(6):466-470 |
| 舰船辐射噪声的高阶统计量特征提取及特征压缩 |
| Extraction and compression of high-order statistical characteristics for ship radiated noise |
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| 中文摘要: |
| 提取了6类水中目标的11/2谱统计线谱特征和AR模型特征。实验结果表明基于11/2谱的统计线谱特征和AR模型特征有效的识别出了目标,达到了85%的综合识别率。最后利用主元分析技术对上述特征进行了压缩,在保持识别率的同时将特征维数从64维压缩至34维,有利于工程上的实现。 |
| 英文摘要: |
| 1 1/2 spectrum statistical line features and the AR model features of six kinds of underwater targets are extracted in this paper.Recognition is done,and the result of which shows that both classes of features are effective in recognizing these targets,and the discrimination is up to 85%.In the last part of this report,a feature compression technology is used to compress the dimension of the original features from 64 to 34,while the discrimination of the compressed features remains unchanged in the main,This could be propitious to engineering realization. |
| DOI：10.11684/j.issn.1000-310X.2010.06.011 |
| 中文关键词: 线谱特征 AR模型 主元分析 特征压缩 |
| 英文关键词: Line features AR model Principal component analysis Feature compaction |
| 基金项目:水下测控技术国防科技重点实验室基金(9140C2601090901) |
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