• DocumentCode
    1318473
  • Title

    Analysis of LMS algorithm with inputs from cyclostationary random processes

  • Author

    McLernon, Des C.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., South Bank Polytech., London, UK
  • Volume
    27
  • Issue
    2
  • fYear
    1991
  • Firstpage
    136
  • Lastpage
    138
  • Abstract
    The least mean square (LMS) algorithm is investigated for inputs from nonstationary random processes having periodic (period P) statistics. By defining P different coefficient vectors, each vector can be shown to converge in the mean´ to a biased solution which is dependent upon the algorithm step size mu .
  • Keywords
    correlation theory; filtering and prediction theory; least squares approximations; random processes; signal processing; LMS algorithm; algorithm step size; biased solution; coefficient vectors; cyclostationary random processes; information theory; least mean square; random process inputs;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19910089
  • Filename
    83165
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1318473