• DocumentCode
    1003102
  • Title

    Improved convergence performance of RSER algorithms with modified gradient filtering

  • Author

    Murali, T. M. ; Rao, B. Venugopal

  • Author_Institution
    Indian Institute of Technology, Advanced Centre for Research in Electronics, Bombay, India
  • Volume
    20
  • Issue
    25
  • fYear
    1984
  • Firstpage
    1048
  • Lastpage
    1050
  • Abstract
    A modified gradient filtering technique is applied to a class of recursive sequential regression (RSER) algorithms, in order to improve the convergence performance. The performance behaviour of the new class of algorithms is studied using both all-pole and pole-zero examples.
  • Keywords
    filtering and prediction theory; poles and zeros; signal processing; all pole examples; convergence performance; modified gradient filtering; pole-zero examples; recursive sequential regression algorithms; signal processing;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19840716
  • Filename
    4250517
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1003102