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神经网络自适应有源噪声对消器
引用本文:莫玮,蒋洪睿,谢维信.神经网络自适应有源噪声对消器[J].信号处理,2000,16(3):286-289.
作者姓名:莫玮  蒋洪睿  谢维信
作者单位:1. 桂林电子工业学院
2. 深圳大学
基金项目:电科院预研基金资助项目。
摘    要:本文提出一种新颖的非线性自适应滤波器-递归神经网络(TNN)自适应滤波器.讨论RNN滤波器的构成及算法,实现了RNN自适应有源噪声对消器.RNN自适应有源噪声对消器性能优于由线性滤波器组成的线性对消器,能适应各种噪声环境.仿真结果充分证明了这一点.

关 键 词:有源噪声对消  递归神经网络  自适应滤波

Neural Networks Adaptive Active Noise Cancellor
Mo Wei,Jiang Hongrui,Xie Weixin.Neural Networks Adaptive Active Noise Cancellor[J].Signal Processing,2000,16(3):286-289.
Authors:Mo Wei  Jiang Hongrui  Xie Weixin
Affiliation:Guilin Institute of Electronic Techology
Abstract:A novel nonlinear adaptive filter- recurrent neural networks (RNN) adaptive filter is provided in the paper. Its structure and algorithm are investigated, and RNN adaptive active noise cancellor is realized~. RNN adaptive active noise cancellor has better anti-noise performances than linear cancellor which is made up of linear filter and can adapt to different kinds of noise environments Simulative has fufficiently verified this.
Keywords:Active Noise Cancellation Recurrent Neural Networks Adaptive Filter
本文献已被 CNKI 万方数据 等数据库收录!
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