• DocumentCode
    1680488
  • Title

    The Generalized Sliding-Window recursive least-squares lattice filter

  • Author

    Spinelli, Hugo M. ; Merched, R.

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Univ. Fed. do Rio de Janeiro, Rio de Janeiro, Brazil
  • fYear
    2013
  • Firstpage
    5730
  • Lastpage
    5734
  • Abstract
    The Generalized Sliding-Window Fast Transversal Filter (GSWFTF) is an extension of the exponentially weighted fast RLS algorithm, which inherits its rapid convergence while featuring the desired robustness of affine projection algorithms. Motivated by the numerical difficulties typical from such adaptive transversal realizations, we develop the lattice version of the GSWRLS. Our simulations show significant improvement on stability compared to the GSWFTF and the classical, sliding-window RLS lattice recursions. The new order-recursive filter exhibits the best of both robust and fast converging algorithms, without showing divergence over millions of iterations.
  • Keywords
    lattice filters; least squares approximations; recursive filters; GSWFTF; GSWRLS; adaptive transversal realizations; affine projection algorithms; exponentially weighted fast RLS algorithm; fast converging algorithms; generalized sliding-window fast transversal filter; generalized sliding-window recursive least-squares lattice filter; order-recursive filter; robust converging algorithms; sliding-window RLS lattice recursions; Convergence; Estimation error; Frequency modulation; Lattices; Numerical stability; Signal processing algorithms; Vectors; Adaptive; RLS; fast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638762
  • Filename
    6638762