Robust polynomial Wigner-Ville distribution for the analysis of polynomial phase signals in /spl alpha/-stable noise

@article{Djeddi2004RobustPW,
  title={Robust polynomial Wigner-Ville distribution for the analysis of polynomial phase signals in /spl alpha/-stable noise},
  author={M. Djeddi and M. Benidir},
  journal={2004 IEEE International Conference on Acoustics, Speech, and Signal Processing},
  year={2004},
  volume={2},
  pages={ii-613}
}
  • M. Djeddi, M. Benidir
  • Published 2004
  • Mathematics, Computer Science
  • 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing
The polynomial Wigner-Ville distribution (PWVD) is the most suitable time-frequency representation (TFR) of non-stationary signals which can be modelled by polynomial phase signals. It is a very efficient signal analysis tool in the case of both additive and multiplicative Gaussian noise. However, in many real life applications, noise can be non-Gaussian. Hence the PWVD fails to produce satisfactory results. On the other hand, it is well known that fractional lower-order statistics (FLOS) are… Expand
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References

SHOWING 1-10 OF 14 REFERENCES
Polynomial Wigner-Ville distributions and their relationship to time-varying higher order spectra
Robust time-frequency representations for signals in /spl alpha/-stable noise using fractional lower-order statistics
Polynomial phase signal analysis based on the polynomial derivatives decompositions
Robust Time-frequency Representations for Signals in -stable Noise
IF estimation of higher-order polynomial FM signals corrupted by multiplicative and additive noise
  • B. Barkat
  • Mathematics, Computer Science
  • 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221)
  • 2001
Product high-order ambiguity function for multicomponent polynomial-phase signal modeling
Design of higher order polynomial Wigner-Ville distributions
Statistical analysis of polynomial phase signals affected by multiplicative and additive noise
...
1
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