| 基于神经网络的自适应噪声抵消器的研究 |
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| 引用本文： | 樊荣,张立毅.基于神经网络的自适应噪声抵消器的研究[J].太原理工大学学报,2006,37(5):524-526. |
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| 作者姓名： | 樊荣 张立毅 |
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| 作者单位： | 太原理工大学,信息工程学院,山西,太原,030024 |
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| 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。
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| 关 键 词： | BP算法 自适应噪声抵消 神经网络 |
| 文章编号： | 1007-9432（2006）05-0524-03 |
| 收稿时间： | 2005-09-02 |
| 修稿时间： | 2005年9月2日 |
The Research on Adaptive Noise Cancellation Based on Artificial Neural Network |
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| FAN Rong,ZHANG Li-yi.The Research on Adaptive Noise Cancellation Based on Artificial Neural Network[J].Journal of Taiyuan University of Technology,2006,37(5):524-526. |
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| Authors: | FAN Rong ZHANG Li-yi |
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| Institution: | Department of Electronic and Communication Engineering of TUT, Taiyuan 030024, China |
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| Abstract: | 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. |
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| Keywords: | BP algorithm adaptive noise cancellation neural network |
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