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
fDate :
7/1/1999 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on