• DocumentCode
    3420195
  • Title

    A fully LMS adaptive interpolated Volterra structure

  • Author

    Batista, Eduardo L O ; Tobias, Orlando J. ; Seara, Rui

  • Author_Institution
    Dept. of Electr. Eng., Fed. Univ. of Santa Catarina, Florianopolis
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    3613
  • Lastpage
    3616
  • Abstract
    The major drawback for using adaptive Volterra filters is the high computational complexity requirement. In this context, a large number of reduced complexity implementations have been proposed to increase the applicability of such filters. Contributing in this sense, this paper presents a fully LMS adaptive approach for implementing interpolated Volterra filters with a very good performance characteristic. The adaptive interpolated Volterra structure is a simplified version of the conventional one which adapts both the interpolator and the sparse filter. Numerical simulations illustrate the usefulness of the proposed approach.
  • Keywords
    adaptive filters; computational complexity; least mean squares methods; nonlinear filters; LMS adaptive interpolated Volterra structure; adaptive Volterra filters; reduced complexity implementations; sparse filter; Adaptive control; Adaptive filters; Adaptive signal processing; Computational complexity; Finite impulse response filter; Interpolation; Least squares approximation; Nonlinear filters; Numerical simulation; Programmable control; Adaptive filters; adaptive signal processing; interpolation; least mean square methods; nonlinear filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4518434
  • Filename
    4518434