• DocumentCode
    3341611
  • Title

    A new frequency-domain LMS adaptive filter with reduced-sized FFT´s

  • Author

    Ochi, Hiroshi ; Bershad, Neil J.

  • Author_Institution
    Fac. of Eng., Ryukyus Univ., Okinawa, Japan
  • Volume
    3
  • fYear
    1995
  • fDate
    30 Apr-3 May 1995
  • Firstpage
    1608
  • Abstract
    This paper proposes a new type of frequency-domain LMS adaptive filter incorporating the FFT. In comparison with conventional FFT-based adaptive filters, the proposed scheme requires much smaller-sized FFT´s in carrying out a system identification, so that it is more suitable for LSI implementations. The convergence proof and steady-state analysis with regard to a mean square error are given. In order to show the efficiency of the proposed method, several computer simulation results are also shown
  • Keywords
    adaptive filters; fast Fourier transforms; frequency-domain analysis; least mean squares methods; FFT; LSI; computer simulation; convergence; frequency-domain LMS adaptive filter; mean square error; steady-state analysis; system identification; Adaptive filters; Computer simulation; Filter bank; Finite impulse response filter; Frequency domain analysis; Least squares approximation; Signal processing; Steady-state; System identification; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2570-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.1995.523716
  • Filename
    523716