• DocumentCode
    2295892
  • Title

    Frequency Domain Adaptive Filter using FFT Algorithm for Acoustic Echo Cancellation

  • Author

    Gunale, K.G. ; Motade, S.N. ; Nalbalwar, S.L. ; Deosarkar, S.B.

  • Author_Institution
    Dept. of E & TC, VPCOE, Pune, India
  • fYear
    2010
  • fDate
    19-21 Nov. 2010
  • Firstpage
    582
  • Lastpage
    587
  • Abstract
    Adaptive Filters are generally implemented in the time domain which works well in most scenarios however in many applications the impulse response becomes too long, increasing the complexity of the filter beyond a level where it can no longer be implemented efficiently in the time domain. An example of where this can happen would be in acoustic echo cancellation applications in hands free telephony. However there exists an alternative solution and that is to implement the filters in the frequency domain. The Discrete Fourier Transform or more specifically the Fast Fourier Transform (FFT) allows the conversion of signals from the time domain to the frequency domain in an efficient manner. Acoustic echo cancellation of the frequency domain adaptive filter is compared with time domain adaptive filter. Again results are compared for both frequency domain and time domain adaptive filters with different step sizes.
  • Keywords
    adaptive filters; discrete Fourier transforms; echo suppression; speech processing; teleconferencing; telephony; transient response; FFT algorithm; acoustic echo cancellation; discrete Fourier transform; fast Fourier transform; frequency domain adaptive filter; hands free telephony; impulse response; time domain adaptive filter; Acoustic signal; Adaptive Filter; echo canceller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology (ICETET), 2010 3rd International Conference on
  • Conference_Location
    Goa
  • ISSN
    2157-0477
  • Print_ISBN
    978-1-4244-8481-2
  • Electronic_ISBN
    2157-0477
  • Type

    conf

  • DOI
    10.1109/ICETET.2010.174
  • Filename
    5698393