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1 21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。
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.
出处
《舰船科学技术》
2011年第3期109-111,共3页
Ship Science and Technology
关键词
特征提取
双谱
11/2维谱
神经网络
feature extraction
bispectum
112 bispectum
neural networks
