• DocumentCode
    1639685
  • Title

    A new time-frequency distribution and its application to speech signal processing

  • Author

    Zhang, Bilin ; Sato, Shunsuke

  • Author_Institution
    Dept. of Biophys. Eng., Osaka Univ., Osaka, Japan
  • fYear
    1992
  • Firstpage
    417
  • Lastpage
    420
  • Abstract
    A kernel function for the time-frequency distribution of Cohen´s (1989) class, which is the product of the Choi-Williams (1989) and the Margenau-Hill (1961) kernels, is proposed. Specific types of signal (sinusoidal signals, chirp signals and others) are analyzed using the distribution and compared with results for the Wigner-Ville and the Choi-Williams distributions. It is found that the present distribution does not indicate spurious intensity in the regions where the other distributions do. The three distributions are compared numerically for the above signals and for speech signals, in order to show the advantages of the present distribution
  • Keywords
    speech analysis and processing; time-frequency analysis; Choi-Williams kernel; Cohen distribution; Margenau-Hill kernels; chirp signals; kernel function; sinusoidal signals; speech signal processing; spurious intensity; time-frequency distribution; Biomedical signal processing; Chirp; Data mining; Frequency domain analysis; Intensity modulation; Kernel; Signal analysis; Signal processing; Speech processing; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-0805-0
  • Type

    conf

  • DOI
    10.1109/TFTSA.1992.274129
  • Filename
    274129