• DocumentCode
    3631357
  • Title

    A new approach for the reassignment of time-frequency representations

  • Author

    Ervin Sejdic;Umut Ozertem;Igor Djurovic;Deniz Erdogmus

  • Author_Institution
    Bloorview Research Institute, University of Toronto, Ontario, Canada
  • fYear
    2009
  • fDate
    4/1/2009 12:00:00 AM
  • Firstpage
    2997
  • Lastpage
    3000
  • Abstract
    The reassignment method is a widespread approach for obtaining high resolution time-frequency representations. Nevertheless, its performance is not always optimal and can deteriorate for low signal-to-noise ratio (SNR) values. In order to overcome these obstacles, a novel method for obtaining high resolution time-frequency representations is proposed in this paper. The new method implements proposed nonparametric snakes in order to obtain accurate locations of the signal ridges in the time-frequency domain. The results of numerical analysis show that the proposed method is capable of achieving significantly higher concentration of signals in the time-frequency domain in comparison to the spectrogram and the traditional reassignment method. Furthermore, the new scheme also maintains good performance for low SNR values, while the performance of the other two considered methods significantly diminishes. It is clear from the results that the proposed method might be of significance in applications where accurate estimation of the signal components is required for low SNR values.
  • Keywords
    "Time frequency analysis","Signal resolution","Spectrogram","Frequency estimation","Working environment noise","Numerical analysis","Testing","Matching pursuit algorithms","Signal to noise ratio","Density functional theory"
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    2379-190X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960254
  • Filename
    4960254