• DocumentCode
    1521899
  • Title

    Polynomial phase signal analysis based on the polynomial derivatives decompositions

  • Author

    Benidir, Messaoud ; Ouldali, Abdelaziz

  • Author_Institution
    Lab. des Signaux et Syst., Supelec, Gif-sur-Yvette, France
  • Volume
    47
  • Issue
    7
  • fYear
    1999
  • fDate
    7/1/1999 12:00:00 AM
  • Firstpage
    1954
  • Lastpage
    1965
  • Abstract
    An exact decomposition of the derivatives of any order of a polynomial φ(t) is proposed in terms of φ(t-t0), ..., φ(t-tn). This result allows us to introduce generalized time-frequency distributions for studying signals having a polynomial phase and a constant amplitude in order to determine the degree and the coefficients of the corresponding phase. The relationships between these distributions and the already known polynomial distributions, i.e., the polynomial phase transform and the polynomial Wigner-Ville distribution, are discussed. Illustrations by example are proposed
  • Keywords
    Wigner distribution; noise; parameter estimation; polynomials; signal processing; time-frequency analysis; transforms; additive noise; coefficients; constant amplitude signal; exact decomposition; generalized time-frequency distributions; polynomial Wigner-Ville distribution; polynomial derivatives decompositions; polynomial phase signal analysis; polynomial phase transform; signal processing; Amplitude estimation; Delay estimation; Discrete transforms; Frequency; Higher order statistics; Phase estimation; Polynomials; Radar applications; Signal analysis; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.771044
  • Filename
    771044