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主子空间跟踪信息准则及算法

高迎彬 孔祥玉 崔巧花 侯立安

高迎彬, 孔祥玉, 崔巧花, 侯立安.主子空间跟踪信息准则及算法.自动化学报, 2020, 46(10): 2214-2220 doi: 10.16383/j.aas.c180141
引用本文: 高迎彬, 孔祥玉, 崔巧花, 侯立安.主子空间跟踪信息准则及算法.自动化学报, 2020, 46(10): 2214-2220 doi: 10.16383/j.aas.c180141
Gao Ying-Bin, Kong Xiang-Yu, Cui Qiao-Hua, Hou Li-An. Principal subspace tracking information criterion and algorithm. Acta Automatica Sinica, 2020, 46(10): 2214-2220 doi: 10.16383/j.aas.c180141
Citation: Gao Ying-Bin, Kong Xiang-Yu, Cui Qiao-Hua, Hou Li-An. Principal subspace tracking information criterion and algorithm. Acta Automatica Sinica, 2020, 46(10): 2214-2220 doi: 10.16383/j.aas.c180141

主子空间跟踪信息准则及算法

doi: 10.16383/j.aas.c180141
基金项目: 

国家自然科学基金 61903375

国家自然科学基金 61673387

国家自然科学基金 61374120

陕西省自然科学基金 2016JM6015

详细信息
    作者简介:

    高迎彬   中国电子科技集团公司第五十四研究所工程师. 2016年获得火箭军工程大学博士学位.主要研究方向为自适应信号处理, 神经网络.
    E-mail: welcome8793@sina.com

    崔巧花  中国电子科技集团公司第五十四研究所工程师.主要研究方向为散射通信. E-mail: gybcqh@sina.com

    侯立安  中国工程院院士, 火箭军工程大学教授.主要研究方向为大气污染治理, 故障诊断, 信号处理.
    E-mail: houlian678@hotmail.com

    通讯作者:

    孔祥玉  火箭军工程大学教授.主要研究方向为故障诊断, 自适应信号处理, 神经网络.本文通信作者.
    E-mail: xiangyukong01@163.com

Principal Subspace Tracking Information Criterion and Algorithm

Funds: 

National Natural Science Foundation of China 61903375

National Natural Science Foundation of China 61673387

National Natural Science Foundation of China 61374120

National Natural Science Foundation of Shaanxi Province 2016JM6015

More Information
    Author Bio:

    GAO Ying-Bin   Engineer at the 54th Research Institute of China Electronics Technology Group Corporation. He received his bachelor degree from Rocket Force University of Engineering in 2016. His research interest covers adaptive signal processing and neural networks

    CUI Qiao-Hua   Engineer at the 54th Research Institute of China Electronics Technology Group Corporation. Her main research interest is scatter communication

    HOU Li-An   Academician of the Chinese Academy of Engineering, professor at Rocket Force University of Engineering. His research interest covers atmospheric pollution treatment, fault diagnosis, and signal processing

    Corresponding author: KONG Xiang-Yu   Professor at Rocket Force University of Engineering. His research interest covers fault diagnosis, adaptive signal processing, and neural networks. Corresponding author of this paper
  • 摘要: 信息准则在发展主子空间跟踪算法中具有十分重要的意义.目前, 主子空间信息准则还不多见, 为此本文提出了一种新型的主子空间跟踪信息准则.当且仅当神经网络权矩阵收敛到信号主子空间的一个正交基时, 该信息准则取得唯一全局极大值.通过梯度上升法对该信息准则求极值导出了一个主子空间跟踪算法.最后通过仿真实验和实际应用证明了所提算法的正确性和实用性.
    Recommended by Associate Editor MEI Sheng-Wei
    1)  本文责任编委 梅生伟
  • 图  1  权矩阵模值曲线

    Fig.  1  Curves of the weight matrix norm

    图  2  指标参数曲线

    Fig.  2  Curves of the parameter index

    图  3  原始的Lena图像

    Fig.  3  The original image of Lena

    图  4  所提算法压缩重构的Lena图像

    Fig.  4  Reconstructed image by the proposed algorithm

    图  5  三种算法权矩阵模值曲线

    Fig.  5  Norm curves of the three algorithms

    图  6  三种算法的指标参数曲线

    Fig.  6  Parameter index curves of the three

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出版历程
  • 收稿日期:  2018-03-12
  • 录用日期:  2018-08-23
  • 刊出日期:  2020-10-29

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