• DocumentCode
    3103546
  • Title

    Bussgang Gaussianity test for stationary series

  • Author

    Giunta, G. ; Jacovitti, G. ; Scarano, G.

  • Author_Institution
    Rome Univ., Italy
  • fYear
    1997
  • fDate
    21-23 Jul 1997
  • Firstpage
    434
  • Lastpage
    437
  • Abstract
    In this contribution we develop a procedure for deciding whether a finite segment of a signal can be considered as a realization of a Gaussian process or not. We first present the theoretical bases leading to the formulation of the Bussgang test. A novel test based on the sign nonlinearity is introduced and its performance analysed in comparison with two simple Gaussianity tests presented in the literature. The results have shown a very promising behaviour of the suggested method in the presence of small amount of available data in both the cases of white and correlated samples
  • Keywords
    Gaussian processes; correlation theory; signal processing; Bussgang Gaussianity test; Gaussian process; correlated samples; performance; sign nonlinearity; signal finite segment; stationary series; white samples; Digital signal processing; Frequency domain analysis; Gaussian distribution; Gaussian noise; Gaussian processes; Higher order statistics; Linearity; Noise measurement; Signal processing; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
  • Conference_Location
    Banff, Alta.
  • Print_ISBN
    0-8186-8005-9
  • Type

    conf

  • DOI
    10.1109/HOST.1997.613562
  • Filename
    613562