| 张岩,尹力.主成分分析在舰船辐射噪声分类识别中的应用[J].,2009,28(1):20-26 |
| 主成分分析在舰船辐射噪声分类识别中的应用 |
| Application of principal component analysis to ship-radiated noise classification and recognition |
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| 中文摘要: |
| 主成分分析(PCA)是经典的多元统计分析方法,在处理多变量综合问题方面有比较突出的优势。本文主要探讨了主成分分析在舰船辐射噪声信号分类识别中的应用。在经典功率谱的基础上尝试将PCA技术运用在两种不同的方法中,对两种舰船辐射噪声进行了特征提取和分类识别,得到了较好的效果。 |
| 英文摘要: |
| Principal Component Analysis is a classic multivariate statistical analysis method, which has obvious advantage in the integrated multi-variable problem.This paper works on the application of PCA to the ship-radiated noise classification and recognition. By using the PCA technology to two different methods on the basis of classic power spectrum, we extract features of 2 different types of ship-radiated noises and complete the classification and recognition.The results indicate that the method is effective and valid. |
| DOI：10.11684/j.issn.1000-310X.2009.01.003 |
| 中文关键词: 主成分分析 舰船辐射噪声 功率谱 特征提取 分类识别 |
| 英文关键词: Principal Component Analysis Ship-radiated noise Power spectrum Feather extraction Classification and recognition |
| 基金项目: |
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