• DocumentCode
    1358005
  • Title

    Analysis of the frequency-domain block LMS algorithm

  • Author

    Farhang-Boroujeny, B. ; Chan, Kheong Sann

  • Author_Institution
    Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
  • Volume
    48
  • Issue
    8
  • fYear
    2000
  • fDate
    8/1/2000 12:00:00 AM
  • Firstpage
    2332
  • Lastpage
    2342
  • Abstract
    We present a new analysis of the frequency-domain block least-mean-square (FBLMS) algorithm. An earlier analysis uses a mapping of the frequency-domain information to the time-domain before proceeding with the analysis of the algorithm. We present a direct analysis of the FBLMS algorithm in the frequency domain. As compared with the previous analysis, the new analysis is easier to follow. It is also more rigorous than the previous works and gives a better insight to the effect of various processing components in the algorithm structure on its convergence behavior. In particular, we show how the transformation of input samples to the frequency domain, combined with the effect of the involved windowing matrices, and step-normalization affect the convergence behavior of both constrained and unconstrained versions of the FBLMS algorithm. We also report a procedure for derivation of misadjustment equations of various versions of the FBLMS algorithm
  • Keywords
    adaptive filters; adaptive signal processing; convergence of numerical methods; filtering theory; frequency-domain analysis; least mean squares methods; matrix algebra; signal sampling; adaptive filters; constrained FBLMS algorithm; convergence behavior; frequency-domain block LMS algorithm; frequency-domain information mapping; input samples transformation; least mean square algorithm; misadjustment equations; processing components; step-normalization; unconstrained FBLMS algorithm; windowing matrices; Algorithm design and analysis; Autocorrelation; Convergence; Discrete Fourier transforms; Equations; Filters; Frequency domain analysis; Information analysis; Least squares approximation; Time domain analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.852014
  • Filename
    852014