非线性小波去噪技术在水声信号识别中的应用  

Application Research of Nonlinear Wavelet Denoising Technique in Recognition of Underwater Acoustic Signal

作　　者：杨亚菁[1] 钟丽萍[2] 

机构地区：[1]湛江海洋大学计算机系,广东湛江524005 [2]湛江师范学院数学与计算科学学院,广东湛江524048

出　　处：《微机发展》2005年第4期21-23,共3页Microcomputer Development

基　　金：广东省科技攻关项目(A1020103)

摘　　要：应用非线性小波去噪技术对小波包能量法进行改进,提出了一种新的方法———去噪小波包能量法。该算法对信号小波去噪后,再用小波包能量法提取信号的特征。文中研究了不同的小波去噪方法对水声信号分类识别率的影响,在实测信号样本集上用BP神经网络进行了识别实验。结果显示了算法的有效性。Improved the wavelet-packet energy method with nonlinear wavelet denoising technique and presented a new method:denoising wavelet-packet energy method.The arithmetic denoised the signal and then contracted the features of it with wavelet packet energy method.Different wavelet-based denoising standard were studied and their influence to recognition rate were given.Experiments with BP neural network showed the validity of this arithmetic.

关 键 词：非线性小波去噪 小波包能量法 分类识别 神经网络 水声信号 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]