• DocumentCode
    1012428
  • Title

    Wiener filtering and LMS algorithm of periodic nonuniformly sampled stochastic sequence

  • Author

    Fan, Laiyao ; Zhang, Congxia ; Ji, Hongbing

  • Author_Institution
    Dept. of Electron. Eng., Xidian Univ., Xi´´an, China
  • Volume
    31
  • Issue
    20
  • fYear
    1995
  • fDate
    9/28/1995 12:00:00 AM
  • Firstpage
    1729
  • Lastpage
    1731
  • Abstract
    A study of Wiener filtering and an LMS algorithm of a periodic nonuniformly sampled stationary stochastic sequence is made. It is demonstrated that the Wiener-Hopf equation of such signals should be constructed and solved on each of the M staggered ordinals, a concept of periodic time-variant weights. Also shown is that in the LMS algorithm, M weight vectors should be adjusted respectively according to the staggered ordinals. Some conclusions and simulation results are given
  • Keywords
    adaptive signal processing; filtering theory; least mean squares methods; signal sampling; stochastic processes; LMS algorithm; Wiener filtering; Wiener-Hopf equation; periodic nonuniformly sampled sequence; periodic time-variant weights; signal processing; staggered ordinals; stationary stochastic sequence;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19951203
  • Filename
    469217