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基于RBF神经网络滤波的噪声消除
引用本文:董翠英,王志秦.基于RBF神经网络滤波的噪声消除[J].唐山学院学报,2007,20(6):39-40,52.
作者姓名:董翠英  王志秦
作者单位:唐山学院,信息工程系,河北,唐山,063000
摘    要:RBF神经网络噪声抵消系统不需要关于输入信号和噪声的先验知识,非线性映射能力强。采用自适应噪声抵消基本原理,构造RBF神经网络自适应滤波器,然后针对该系统,建立Simulink仿真模型。仿真结果表明,该方法具有良好的噪声抑制能力。

关 键 词:噪声  自适应滤波  RBF神经网络  噪声抵消
文章编号:1672-349X(2007)06-0039-02
收稿时间:2007-09-04
修稿时间:2007年9月4日

Noise Cancellation Based on RBF Neural Network Filtering
DONG Cui-ying,WANG Zhi-qin.Noise Cancellation Based on RBF Neural Network Filtering[J].Journal of Tangshan College,2007,20(6):39-40,52.
Authors:DONG Cui-ying  WANG Zhi-qin
Abstract:RBF neural network noise cancellation system does not need the previous information of input signal and noise and has better ability of nonlinear mapping.According to the theory of self-adaptive noise cancellation,RBF neural network adptive filter is established and then Simulink Model is established for the system.Simulation results show that the method has good performace in controlling noises.
Keywords:noise  self-adaptive filtering  RBF neural network  noise cancellation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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