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基于高阶谱的舰船噪声特征提取与实验
引用本文:陈雪俫.基于高阶谱的舰船噪声特征提取与实验[J].舰船科学技术,2011,33(3).
作者姓名:陈雪俫
作者单位:海军兵种指挥学院,广州,广东,510430
摘    要:利用高阶谱对舰船辐射噪声进行了分析,着重研究了采用双谱分析的方法提取舰船噪声特征,给出了维谱特征提取的算法,提取了9维的特征向量并利用神经网络进行了训练与识别.实验表明,该方法对舰船辐射噪声信号具有很好的分类效果.

关 键 词:特征提取  双谱  维谱  神经网络

Ship-radiated noise extraction and experiment investigation based on higher order spectrum
CHEN Xue-lai.Ship-radiated noise extraction and experiment investigation based on higher order spectrum[J].Ship Science and Technology,2011,33(3).
Authors:CHEN Xue-lai
Institution:CHEN Xue-lai(Naval Arms Command Institute,Guangzhou 510430,China)
Abstract:In order to correctly recognize the signal of ship-radiated noise,the method of feature extraction on higher order spectrum is presented.The noises always takes on apparent nonlinearity and non-Gaussian.Therefore,bispectrum is used to extract the feature of ship-radiated noise.Based on the higher order spectrum of the ship noise,the energy distribution of diagonal slices are extracted as the characteristics.By using the back-propagation artificial neural networks,fine results have been obtained.
Keywords:feature extraction  bispectum  112 bispectum  neural networks  
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