• DocumentCode
    850122
  • Title

    Nonparametric kernel algorithm for recovery of functions from noisy measurements with applications

  • Author

    Georgiev, Alexander A.

  • Author_Institution
    Technical University of Wroclaw, Wroclaw, Poland
  • Volume
    30
  • Issue
    8
  • fYear
    1985
  • fDate
    8/1/1985 12:00:00 AM
  • Firstpage
    782
  • Lastpage
    784
  • Abstract
    This note presents a kernel algorithm for recovery of a regression function from noisy data. Conditions are provided that assure pointwise convergence in the mean square and almost sure senses. An application to a class of linear system identification problems is discussed.
  • Keywords
    Nonparametric estimation; System identification, linear systems; Convergence; Cybernetics; Kernel; Least squares approximation; Linear systems; Maximum likelihood estimation; Memoryless systems; Random variables; Sufficient conditions; System identification;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1985.1104052
  • Filename
    1104052
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=850122