• DocumentCode
    1419577
  • Title

    Acoustic echo cancellation: do IIR models offer better modeling capabilities than their FIR counterparts?

  • Author

    Liavas, Athanasios P. ; Regalia, Phillip A.

  • Author_Institution
    Dept. Signal et Image, Inst. Nat. des Telecommun., Evry, France
  • Volume
    46
  • Issue
    9
  • fYear
    1998
  • fDate
    9/1/1998 12:00:00 AM
  • Firstpage
    2499
  • Lastpage
    2504
  • Abstract
    The adequateness of IIR models for acoustic echo cancellation is a long-standing question, and the answers found in the literature are conflicting. We use the results from rational Hankel norm and least-squares approximation, and we recall a test that provides a priori performance levels for FIR and IIR models. We apply this test to the measured acoustic impulse responses. Upon comparing the performance levels of FIR and IIR models with the same number of free parameters, we do not observe any significant gain from the use of IIR models. We attribute this phenomenon to the shape of the energy spectra of the acoustic impulse responses so tested, which possess many strong and sharp peaks. Faithful modeling of these peaks requires many parameters, irrespective of the type of the model
  • Keywords
    FIR filters; Hankel matrices; IIR filters; acoustic signal processing; adaptive filters; adaptive signal processing; echo suppression; filtering theory; least squares approximations; noise abatement; spectral analysis; FIR filters; FIR models; Hankel matrix; IIR filters; IIR models; a priori performance levels; acoustic echo cancellation; acoustic impulse responses; adaptive filters; energy spectra shape; free parameters; least-squares approximation; rational Hankel norm; test; Acoustic measurements; Acoustic testing; Computational complexity; Context modeling; Cost function; Echo cancellers; Equations; Finite impulse response filter; Impulse testing; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.709537
  • Filename
    709537