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    林家骏, 乐慧丰. 过程信号的盲分离[J]. 华东理工大学学报(自然科学版), 1999, (5): 510-513.
    引用本文: 林家骏, 乐慧丰. 过程信号的盲分离[J]. 华东理工大学学报(自然科学版), 1999, (5): 510-513.
    Blind Separation of Process signals[J]. Journal of East China University of Science and Technology, 1999, (5): 510-513.
    Citation: Blind Separation of Process signals[J]. Journal of East China University of Science and Technology, 1999, (5): 510-513.

    过程信号的盲分离

    Blind Separation of Process signals

    • 摘要: 添加采集通道,应用文中提出的基于盲分离原理的简约HJ神经网络(RHJNN),可有效地去除混杂在过程信号中噪声,是控制工程中一种新型的去噪手段。对多类控制系统与不同信号的组合仿真表明,该方法是有效的,网络性能是稳定的。

       

      Abstract: With a sampling channel added, the noise mixed in process signals can be reduced by using the reduced HJ neural network (RHJNN) which is proposed in this paper based on signal blind separation. Results of computational simulations for different systems and signal combinations show RHJNN is effective, stable and robust.

       

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