• DocumentCode
    894634
  • Title

    Design of linear phase FIR filters using the LMS algorithm

  • Author

    Roy, Sumit

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA
  • Volume
    41
  • Issue
    4
  • fYear
    1993
  • fDate
    4/1/1993 12:00:00 AM
  • Firstpage
    1685
  • Lastpage
    1689
  • Abstract
    The application of the stochastic gradient (least mean square) algorithm, the design of linear phase finite impulse response (FIR) filters, is discussed. Analytical results are presented and supported by simulation experiments to demonstrate the superior performance of the LMS algorithm equipped with the linear phase constraint as compared to the standard LMS algorithm
  • Keywords
    digital filters; least squares approximations; LMS algorithm; least mean square; linear phase FIR filters; linear phase constraint; simulation experiments; stochastic gradient algorithm; Algorithm design and analysis; Analytical models; Finite impulse response filter; Least squares approximation; Nonlinear filters; Performance analysis; Signal design; Signal processing algorithms; Stochastic processes; Vectors;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.212744
  • Filename
    212744
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=894634