• DocumentCode
    705891
  • Title

    New insights in adaptive cascaded FIR structure: Application to fully adaptive interpolated FIR structures

  • Author

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

  • Author_Institution
    Dept. of Electr. Eng., Fed. Univ. of Santa Catarina, Florianópolis, Brazil
  • fYear
    2007
  • fDate
    3-7 Sept. 2007
  • Firstpage
    370
  • Lastpage
    374
  • Abstract
    This paper presents the development of the least-mean-square (LMS) and normalized LMS (NLMS) algorithms for adapting cascaded FIR filters and the application of such algorithms to the whole adaptation of interpolated FIR filters. The obtained expressions are general and can be extended to any structure composed of the cascade of two FIR filters. The considered approach allows verifying the main characteristics of the adaptive process as well as the limitations of the existing adaptive interpolated FIR structures using adaptive interpolators. Numerical simulation results are presented aiming to confirm the effectiveness of the obtained advances.
  • Keywords
    FIR filters; adaptive filters; interpolation; least mean squares methods; NLMS algorithm; adaptive cascaded FIR structure; adaptive interpolated FIR structure; adaptive interpolators; cascaded FIR filters; interpolated FIR filters; least-mean-square algorithm; normalized LMS algorithm; Adaptive filters; Filtering algorithms; Filtering theory; Finite impulse response filters; Least squares approximations; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2007 15th European
  • Conference_Location
    Poznan
  • Print_ISBN
    978-839-2134-04-6
  • Type

    conf

  • Filename
    7098827