• DocumentCode
    311258
  • Title

    Localized subclasses of quadratic time-frequency representations

  • Author

    Papandreou-Suppappola, Antonia ; Murray, Robin L. ; Boudreaux-Bartels, G. Faye

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Eng., Rhode Island Univ., Kingston, RI, USA
  • Volume
    3
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    2041
  • Abstract
    We discuss the existence of classes of quadratic time-frequency representations (QTFRs), e.g. Cohen, power, and generalized time-shift covariant, that satisfy a time-frequency (TF) concentration property. This important property yields perfect QTFR concentration along group delay curves. It also (1) simplifies the QTFR formulation and property kernel constraints as the kernel reduces from 2-D to 1-D, (2) reduces the QTFR computational complexity, and (3) yields simplified design algorithms. We derive the intersection of Cohen´s class with the new power exponential class, and show that it belongs to Cohen´s localized-kernel subclass. In addition to the TF shift covariance and concentration properties, these intersection QTFRs preserve power exponential time shifts, important for analyzing signals passing through exponentially dispersive systems
  • Keywords
    computational complexity; delays; signal representation; time-frequency analysis; Cohen´s class; TF shift covariance; computational complexity; design algorithms; exponentially dispersive systems; generalized time-shift covariant class; group delay curves; localized subclasses; localized-kernel subclass; perfect QTFR concentration; power exponential class; power exponential time shifts; property kernel constraints; quadratic time-frequency representations; time-frequency concentration property; Algorithm design and analysis; Computational complexity; Delay; Dispersion; Fourier transforms; Kernel; Signal analysis; Speech analysis; Time frequency analysis; Tomography;
  • 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.1997.599346
  • Filename
    599346