• DocumentCode
    311273
  • Title

    An iterative algorithm for time-variant filtering in the discrete Gabor transform domain

  • Author

    Xia, Xiang-Gen ; Qian, Shie

  • Author_Institution
    Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
  • Volume
    3
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    2121
  • Abstract
    In this paper, an iterative time-frequency (TF) synthesis/time-varying filtering algorithm in the discrete Gabor transform domain is proposed. A sufficient condition is obtained for the Gabor synthesis and analysis window functions so that the iterative algorithm converges. It is proved that, under the condition, the algorithm converges to a signal that has its Gabor transform located exactly in a desired domain specified by the user in the TF plane. Under the condition the solution from the first iteration is exactly the least square solution. Our numerical examples show: about 3.5 dB or more SNR gain over the least square solution; about 13 dB SNR increase over the SNR without filtering; lower computational complexity
  • Keywords
    computational complexity; convergence of numerical methods; filtering theory; iterative methods; least squares approximations; signal processing; time-frequency analysis; time-varying filters; transforms; Gabor analysis window functions; Gabor synthesis window functions; SNR gain; convergence; discrete Gabor transform domain; iterative algorithm; least square solution; lower computational complexity; numerical examples; signal processing; time-frequency synthesis; time-variant filtering; time-varying filtering; Algorithm design and analysis; Computational complexity; Discrete transforms; Filtering algorithms; Gabor filters; Iterative algorithms; Least squares methods; Signal synthesis; Sufficient conditions; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • Conference_Location
    Munich
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.599457
  • Filename
    599457