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基于优化字典学习算法的压缩数据收集

易可夫 王东豪 万江文

易可夫, 王东豪, 万江文等 . 基于优化字典学习算法的压缩数据收集[J]. 北京航空航天大学学报, 2016, 42(6): 1203-1209. doi: 10.13700/j.bh.1001-5965.2015.0375
引用本文: 易可夫, 王东豪, 万江文等 . 基于优化字典学习算法的压缩数据收集[J]. 北京航空航天大学学报, 2016, 42(6): 1203-1209. doi: 10.13700/j.bh.1001-5965.2015.0375
YI Kefu, WANG Donghao, WAN Jiangwenet al. Optimized dictionary learning algorithm for compressive data gathering[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(6): 1203-1209. doi: 10.13700/j.bh.1001-5965.2015.0375(in Chinese)
Citation: YI Kefu, WANG Donghao, WAN Jiangwenet al. Optimized dictionary learning algorithm for compressive data gathering[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(6): 1203-1209. doi: 10.13700/j.bh.1001-5965.2015.0375(in Chinese)

基于优化字典学习算法的压缩数据收集

doi: 10.13700/j.bh.1001-5965.2015.0375
基金项目: 国家自然科学基金(61371135)
详细信息
    作者简介:

    易可夫 男,博士研究生。主要研究方向:无线传感器网络。E-mail:corfyi@163.com;万江文 男,博士,教授,博士生导师。主要研究方向:无线传感器网络。Tel.:010-82339889 E-mail:jwwan@buaa.edu.cn

    通讯作者:

    万江文,Tel.:010-82339889 E-mail:jwwan@buaa.edu.cn

  • 中图分类号: TP393

Optimized dictionary learning algorithm for compressive data gathering

  • 摘要: 为了提高压缩数据收集对多样化传感数据的适应能力,同时抑制环境噪声对数据收集精度的影响,提出了一种优化字典学习算法来构造压缩数据收集中的稀疏字典。理论分析表明在压缩数据收集中由环境噪声导致的数据收集误差和稀疏字典的自相干程度正相关。为此在字典学习的过程中引入了自相干惩罚项来抑制环境噪声对数据收集精度的影响。该惩罚项还能减少字典学习过程中对训练数据的过拟合,从而进一步提高了该算法的稀疏表示能力。实验表明,该算法的稀疏表示能力高于同类字典学习算法,而且能有效地抑制环境噪声对压缩数据收集精度的影响。

     

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出版历程
  • 收稿日期:  2015-06-08
  • 刊出日期:  2016-06-20

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