• DocumentCode
    1022219
  • Title

    Design of time-frequency representations using a multiform, tiltable exponential kernel

  • Author

    Costa, Antonio H. ; Boudreau-Bartels, G.F.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Masachusetts Dartmouth, North Dartmouth, MA, USA
  • Volume
    43
  • Issue
    10
  • fYear
    1995
  • fDate
    10/1/1995 12:00:00 AM
  • Firstpage
    2283
  • Lastpage
    2301
  • Abstract
    A novel Cohen´s (1981) class time-frequency representation with a tiltable, generalized exponential kernel capable of attaining a wide diversity of shapes in the ambiguity function plane is proposed for improving the time-frequency analysis of multicomponent signals. The first advantage of the proposed kernel is its ability to generate a wider variety of passband shapes, e.g., rotated ellipses, generalized hyperbolas, diamonds, rectangles, parallel strips at arbitrary angles, crosses, snowflakes, etc., and narrower transition regions than conventional Cohen´s class kernels; this versatility enables the new kernel to suppress undesirable cross terms in a broader variety of time-frequency scenarios. The second advantage of the new kernel is that closed form design equations can now be easily derived to select kernel parameters that meet or exceed a given set of user specified passband and stopband design criteria in the ambiguity function plane. Thirdly, it is shown that simple constraints on the parameters of the new kernel can be used to guarantee many desirable properties of time-frequency representations. The well known Choi-Williams (1989) exponential kernel, the generalized exponential kernel, and Nuttall´s (1990) tilted Gaussian kernel are special cases of the proposed kernel
  • Keywords
    exponential distribution; signal representation; spectral analysis; time-frequency analysis; ambiguity function plane; closed form design equations; crosses; diamonds; exponential distribution; generalized exponential kernel; generalized hyperbolas; kernel parameters; multicomponent signals; multiform exponential kernel; parallel strips; passband design criteria; passband shapes; rectangles; rotated ellipses; snowflakes; stopband design criteria; tiltable exponential kernel; tilted Gaussian kernel; time-frequency representations; Equations; Interference; Kernel; Passband; Shape; Signal processing; Signal resolution; Spectrogram; Strips; Time frequency analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.469860
  • Filename
    469860