• DocumentCode
    406208
  • Title

    A robust algorithm to repair the lost signal in dynamic observation

  • Author

    Zhu Zhuan Min ; QinKe, Peng ; Yang Yikang ; Huang YongXuan

  • Author_Institution
    Inst. of Syst. Eng., Xi´´an Jiaotong Univ., China
  • Volume
    1
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    594
  • Abstract
    In measurement, the effect of disturbance in the observed signals becomes a distortion or a lost, and it affects the continuous and smoothness of trajectory. Based on the least-square method and main elements analysis, this paper proposed a robust algorithm to repair the lost and distortion data. The simulation demonstrates the great improvement of the method in the processing accuracy.
  • Keywords
    distortion; least mean squares methods; signal processing; smoothing methods; dynamic observation; least-square method; main elements analysis; observed signals; robust algorithm; Algorithm design and analysis; Distortion measurement; Loss measurement; Modeling; Parameter estimation; Recursive estimation; Robustness; Sampling methods; Signal analysis; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1279343
  • Filename
    1279343