摘要
在系统阐述了自适应滤波器和自适应噪声抵消器基本原理的基础上,利用神经网络的特点,设计了基于四层神经网络的自适应噪声抵消系统,克服了传统自适应滤波器需要两路输入信号统计相关的特点。理论分析和计算机仿真表明,该系统与传统自适应噪声抵消系统相比具有很好的噪声消除能力和鲁棒性。
On the basis of analyzing 4 layers forward artificial neural networks which is based on BP algorithms and basic principles of the adaptive noise cancellation system,set up an adaptive noise cancellation system based on artificial neural network. At the end ,the result of Matlab simulations indicates that the adaptive noise cancellation system based on artificial neural network is very efficient and has robust performance.
出处
《太原理工大学学报》
CAS
北大核心
2006年第5期524-526,共3页
Journal of Taiyuan University of Technology
关键词
BP算法
自适应噪声抵消
神经网络
BP algorithm
adaptive noise cancellation
neural network
