• DocumentCode
    1279380
  • Title

    Variable length stochastic gradient algorithm

  • Author

    Pritzker, Zeev ; Feuer, Arie

  • Author_Institution
    Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
  • Volume
    39
  • Issue
    4
  • fYear
    1991
  • fDate
    4/1/1991 12:00:00 AM
  • Firstpage
    997
  • Lastpage
    1001
  • Abstract
    The transversal variable-length stochastic gradient algorithm is described. It is a modification of the stochastic gradient algorithm that allows dynamic allocation of coefficients of an adaptive filter. The order of the filter and the adaptation step size are changed automatically when an appropriate level of performance is reached during the course of the adaptation process. In this way, the algorithm results in fast convergence, typical of low-order filters, and good steady-state performance, typical of high-order filters
  • Keywords
    adaptive filters; digital filters; adaptation step size; adaptive filter; coefficients; convergence; dynamic allocation; filter order; high-order filters; low-order filters; steady-state performance; stochastic gradient algorithm; transversal variable length algorithm; Algebra; Approximation algorithms; Convergence; Equations; Filters; Least squares approximation; Signal processing algorithms; Steady-state; Stochastic processes; Video recording;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.80936
  • Filename
    80936