• DocumentCode
    2238872
  • Title

    Spectral estimation using dynamical system theory

  • Author

    Klumpp, Eric ; Mailhes, Corinne

  • Author_Institution
    ENSEEIHT/TeSA, Nat. Polytech. Inst. of Toulouse, Toulouse, France
  • fYear
    2002
  • fDate
    3-6 Sept. 2002
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper addresses the problem of spectral estimation by using dynamical system theory. A new parametric model motivated by the Takens theorem is defined. This model referred to as dynamical AR model is showed to outperform the usual AR model to estimate the frequencies of sinusoidal signals.
  • Keywords
    Kalman filters; frequency estimation; spectral analysis; Kalman filter; Takens theorem; dynamical AR model; dynamical system theory; sinusoidal signal frequency estimation; spectral estimation problem; Abstracts; Delays; Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2002 11th European
  • Conference_Location
    Toulouse
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7072213
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2238872