• DocumentCode
    2718785
  • Title

    Adaptive acoustic echo cancellation based on FIR and IIR filter banks

  • Author

    Ansahl, Thorsten ; Varga, Imre ; Kremmer, Ingrid ; Xu, Wen

  • Author_Institution
    Siemens AG, Munich, Germany
  • Volume
    4
  • fYear
    1999
  • fDate
    15-19 Mar 1999
  • Firstpage
    2403
  • Abstract
    We investigate various subband AEC systems in real handsfree situation, including FIR and IIR analysis and synthesis QMF filter banks in a polyphase structure. The adaptation in the subbands is performed by the affine projection algorithm in comparison to the NLMS algorithm. The IIR filters are superior to FIR filters in the sense that they lead to low signal delay and sharp frequency separation. Furthermore the computational complexity is greatly reduced by the use of IIR filters. The results show that splitting the signal into more subbands has advantages. Both wideband and narrowband speech signals have been evaluated
  • Keywords
    FIR filters; IIR filters; acoustic signal processing; adaptive filters; adaptive signal processing; channel bank filters; echo suppression; filtering theory; network synthesis; quadrature mirror filters; speech processing; FIR filter bank; IIR filter banks; NLMS algorithm; adaptive acoustic echo cancellation; adaptive filtering; affine projection algorithm; analysis QMF filter bank; computational complexity reduction; filter banks design; handsfree communication; low signal delay; narrowband speech signals; polyphase structure; sharp frequency separation; subband AEC systems; synthesis QMF filter bank; wideband speech signals; Computational complexity; Delay; Echo cancellers; Filter bank; Finite impulse response filter; Frequency; IIR filters; Projection algorithms; Signal synthesis; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-5041-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1999.758423
  • Filename
    758423