| 基于卷积混叠传输信号的去噪 |
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| 引用本文： | 华容.基于卷积混叠传输信号的去噪[J].上海应用技术学院学报,2006,6(1):12-14,18. |
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| 作者姓名： | 华容 |
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| 作者单位： | 上海应用技术学院机械与自动化工程学院 上海200235 |
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| 摘 要： | 提出一种基于卷积混叠信号分离神经网络算法,简称CMHJNN。可使线性静态或动态传输通道中混叠的多源信号实现分离,从而可应用于传输信号上的去噪。对多类不同信号组合仿真表明,该方法是有效的,网络性能是稳定的。
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| 关 键 词： | 神经网络 卷积混叠 传输信号 |
| 文章编号： | 1671-7333（2006）01-0012-03 |
| 收稿时间： | 2005-03-07 |
| 修稿时间： | 2005-03-07 |
Blind Signal Separation of Convolutive Mixtures for Process Signal |
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| HUA Rong.Blind Signal Separation of Convolutive Mixtures for Process Signal[J].Journal of Shanghai Institute of Technology: Natural Science,2006,6(1):12-14,18. |
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| Authors: | HUA Rong |
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| Institution: | School of Mechanical and Automation Engineering, Shanghai Institute of Technology, Shanghai 200235, China |
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| Abstract: | The model and algovithm of convolutive mixture for process signal,based on the blind separation of H-J neural network,are presented.The noise mixed on process signal by a linear and convolutive fashion in a stationary or nonstationary propagation passage can be canceled with this approach.This is a new noise-cancellation method in process control engineering. |
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| Keywords: | neural network convolutive mixture process signal |
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