• DocumentCode
    763206
  • Title

    Class of constrained ARMA models for line enhancement using real-time QR implementation

  • Author

    Fitzgerald, William J. ; Geere, R.

  • Author_Institution
    Dept. of Eng., Cambridge Univ., UK
  • Volume
    27
  • Issue
    24
  • fYear
    1991
  • Firstpage
    2230
  • Lastpage
    2231
  • Abstract
    A new class of model is presented for the estimation of model parameters for narrowband signals in additive white noise. The new class of model consists of constrained ARMA models and these have been implemented using the QR algorithm using both off-line and real-time processing. The performance of this class of model is described and applications for adaptive line enhancement are given.
  • Keywords
    modelling; random noise; signal processing; QR algorithm; adaptive line enhancement; additive white noise; applications; class of model; constrained ARMA models; estimation of model parameters; narrowband signals; real-time QR implementation; real-time processing;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19911379
  • Filename
    109503
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=763206