• DocumentCode
    1134448
  • Title

    Duality and classification of bilinear time-frequency signal representations

  • Author

    Hlawatsch, Franz

  • Author_Institution
    Inst. fuer Nachrichtentech. & Hochfrequenztech. Tech. Univ., Wien, Austria
  • Volume
    39
  • Issue
    7
  • fYear
    1991
  • fDate
    7/1/1991 12:00:00 AM
  • Firstpage
    1564
  • Lastpage
    1574
  • Abstract
    The author discusses a fundamental duality principle of BTFRs (bilinear time-frequency representations) and presents a systematic classification of BTFRs which is consistent with BTFR duality. BTFRs are first grouped into two basic domains, namely, the energy density domain (E-domain) with energetic interpretation, and the correlation domain (C-domain) with correlative interpretation. It is shown that these domains are related by a Fourier transform duality: to any BTFR, BTFR relation, or BTFR property of the E-domain, there corresponds a dual BTFR, BTFR relation, or BTFR properties of the C-domain, and vice versa. With this duality principle as a background, a classification of BTFRs is given. This classification is based on two dual shift-invariance properties and a self-dual scale-invariance property of BTFRs. The mathematical description of BTFRs by means of kernel functions is simplified, inside the respective BTFR classes. It is shown that BTFRs which are both shift and scale invariant can be represented as superpositions of generalized Wigner distributions (E-domain) or generalized ambiguity function (C-domain)
  • Keywords
    correlation theory; frequency-domain analysis; signal processing; time-domain analysis; Fourier transform duality; bilinear time-frequency signal representations; correlation domain; dual shift-invariance properties; duality principle; energy density domain; generalized Wigner distributions; generalized ambiguity function; kernel functions; self-dual scale-invariance; signal classification; Fourier transforms; Frequency domain analysis; Kernel; Optical filters; Signal analysis; Signal processing; Signal representations; Spectrogram; Speech analysis; Time frequency analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.134395
  • Filename
    134395