• DocumentCode
    932041
  • Title

    When should smoothing cease?

  • Author

    Kalata, Paul R. ; Priemer, Roland

  • Author_Institution
    Illinois Institute of Technology, Chicago, Ill.
  • Volume
    62
  • Issue
    9
  • fYear
    1974
  • Firstpage
    1289
  • Lastpage
    1290
  • Abstract
    Error entropy estimation principles are used to analyze the smoothing problem for linear discrete time systems. Using information-theoretic concepts, a smoothing rate upper bound formula is developed which is considerably simpler to use than determining smoothing effectiveness by the optimal mean-square-error smoothing algorithm.
  • Keywords
    Entropy; Filters; Frequency; Recursive estimation; Sampling methods; Smoothing methods; State estimation; Switches; Transfer functions; Upper bound;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/PROC.1974.9616
  • Filename
    1451546