• DocumentCode
    1382525
  • Title

    Discrete-time, discrete-frequency, time-frequency analysis

  • Author

    Richman, Michael S. ; Parks, Thomas W. ; Shenoy, Ramachandra G.

  • Author_Institution
    Center for Appl. Math., Cornell Univ., Ithaca, NY, USA
  • Volume
    46
  • Issue
    6
  • fYear
    1998
  • fDate
    6/1/1998 12:00:00 AM
  • Firstpage
    1517
  • Lastpage
    1527
  • Abstract
    A formulation of a discrete-time, discrete-frequency Wigner distribution for analysis of discrete-time, periodic signals is given using an approach involving group representation theory. This approach is motivated by a well-known connection between group theory and the continuous Wigner distribution. The advantage of this approach is that the resulting discrete distribution satisfies mathematical properties analogous to those satisfied by the continuous distribution. After outlining the relationship between group representation theory and time-frequency analysis, we derive the discrete distribution and exhibit many of its mathematical properties. These include time and frequency marginals, the Weyl correspondence, and covariance. In particular, the interpretation of covariance for the discrete distribution is shown to be different than that for the continuous distribution. Finally, we note some unusual features of this discrete distribution, which are a consequence of the group-theoretic derivation
  • Keywords
    Wigner distribution; covariance analysis; discrete time systems; group theory; signal representation; time-frequency analysis; Weyl correspondence; continuous Wigner distribution; covariance; discrete distribution; discrete-frequency analysis; discrete-time analysis; frequency marginals; group representation theory; mathematical properties; periodic signals; time marginals; time-frequency analysis; Bandwidth; Books; Distributed computing; Fourier transforms; Information analysis; Mathematics; Predictive maintenance; Signal analysis; Spectrogram; Time frequency analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.678465
  • Filename
    678465