• DocumentCode
    311254
  • Title

    Zero-tracking time-frequency distributions

  • Author

    Wang, Chenshu ; Amin, Moeness G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA
  • Volume
    3
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    2021
  • Abstract
    The zero-tracking time-frequency distribution (TFD) is introduced. The local autocorrelation function of the TFD, defined by an appropriate kernel, is used to form a polynomial whose roots correspond to the instantaneous frequencies of the multicomponent signal. Two techniques for zero-tracking based on the TFD are presented. The first technique requires updating all of the polynomial signal and extraneous zeros, and is based on the formula relating to the first order approximation, the changes in the polynomial roots and coefficients. The second technique employs the zero-finding Newton´s method to only obtain the zero-trajectories of interest
  • Keywords
    Newton method; adaptive filters; adaptive signal processing; approximation theory; correlation methods; filtering theory; frequency estimation; poles and zeros; polynomials; statistical analysis; time-frequency analysis; tracking filters; TFD; adaptive filter; coefficients; first order approximation; instantaneous frequency estimation; kernel; local autocorrelation function; multicomponent signal; polynomial roots; polynomial signal; zero finding Newton´s method; zero tracking time-frequency distributions; zero trajectories; Adaptive filters; Autocorrelation; Fourier transforms; Frequency estimation; Hidden Markov models; Kernel; Newton method; Polynomials; Signal analysis; 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.1997.599340
  • Filename
    599340