• DocumentCode
    3489550
  • Title

    Spectrogram decompositions of time-frequency distributions

  • Author

    Williams, William J. ; Aviyente, Selin

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    587
  • Abstract
    This paper outlines means of combining spectrograms formed using specially designed windows. Previous work has shown that one can decompose any time-frequency distribution (TFD) in Cohen´s class into a weighted sum of spectrograms. This is accomplished by decomposing the kernel of the distribution in terms of an orthogonal set of analysis windows. The spectrograms obtained using these analysis windows are then linearly combined with proper weights to form the desired TFD. The goal is a full and effective basis for representing TFD. Successful application of this theory offers very fast computation of TFD, since very few analysis windows may be needed and fast, recursive spectrogram algorithms can be used
  • Keywords
    probability; signal processing; spectral analysis; time-frequency analysis; Cohen class; analysis windows; kernel; recursive algorithms; spectrogram decompositions; time-frequency distribution; weighted sum; Ear; Eigenvalues and eigenfunctions; Interference constraints; Kernel; Signal processing; Signal processing algorithms; Spectrogram; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and its Applications, Sixth International, Symposium on. 2001
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    0-7803-6703-0
  • Type

    conf

  • DOI
    10.1109/ISSPA.2001.950213
  • Filename
    950213