• DocumentCode
    1454214
  • Title

    A block exact fast affine projection algorithm

  • Author

    Tanaka, Masashi ; Makino, Shoji ; Kojima, Junji

  • Author_Institution
    Human Interface Labs., NTT, Tokyo, Japan
  • Volume
    7
  • Issue
    1
  • fYear
    1999
  • fDate
    1/1/1999 12:00:00 AM
  • Firstpage
    79
  • Lastpage
    86
  • Abstract
    This paper describes a block (affine) projection algorithm that has exactly the same convergence rate as the original sample-by-sample algorithm and smaller computational complexity than the fast affine projection algorithm. This is achieved by (1) introducing a correction term that compensates for the filter output difference between the sample-by-sample projection algorithm and the straightforward block projection algorithm, and (2) applying a fast finite impulse response (FIR) filtering technique to compute the filter outputs and to update the filter. We describe how to choose a pair of block lengths that gives the longest filter length under a constraint on the total computational complexity and processing delay. An example shows that the filter length can be doubled if a delay of a few hundred samples is permissible
  • Keywords
    FIR filters; adaptive filters; adaptive signal processing; computational complexity; convergence of numerical methods; delays; filtering theory; signal sampling; FIR filtering; adaptive filter; block exact fast affine projection algorithm; block lengths; computational complexity; convergence rate; correction term; fast finite impulse response filtering; filter length; filter output difference compensation; filter outputs; filter updating; processing delay; sample-by-sample algorithm; Adaptive filters; Computational complexity; Convergence; Delay; Filtering algorithms; Finite impulse response filter; Least squares approximation; Projection algorithms; Resonance light scattering; Transversal filters;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/89.736333
  • Filename
    736333