• DocumentCode
    2146764
  • Title

    Transitional surrogates

  • Author

    Borgnat, Pierre ; Flandrin, Patrick ; Ferrari, André ; Richard, Cédric

  • Author_Institution
    Lab. de Phys., Ecole Normale Super. de Lyon, Lyon, France
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    3600
  • Lastpage
    3603
  • Abstract
    While an exact stationarization of a process with a given spectrum magnitude can be obtained via a complete randomization of the spectrum phase ("surrogates" technique), we pro pose here a softened version in which the degree of stationarization can be controlled by a perturbation of the actual phase. A basic theory for such "transitional surrogates" is first discussed, with emphasis on two effective constructions based on either white Gaussian noise or random walks. Some typical examples are considered for illustration, and performance evaluations are provided for supporting the usefulness of the approach in the context of stationarity testing.
  • Keywords
    Gaussian noise; signal processing; complete randomization; random walks; spectrum phase; stationarity testing; transitional surrogates; white Gaussian noise; Correlation; Gaussian noise; Indexes; Phase noise; Testing; Time frequency analysis; Surrogates; random phase; stationarity test;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946257
  • Filename
    5946257