• DocumentCode
    2676447
  • Title

    Spline windows for power spectral density estimation

  • Author

    Stanciu, Lucian ; Stanciu, Cristian

  • Author_Institution
    Dept. of Telecommun., Univ. Politeh. of Bucharest, Bucharest, Romania
  • fYear
    2011
  • fDate
    June 30 2011-July 1 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The power spectral density of a signal can be estimated most accurately by using a window with a narrow bandwidth and large sidelobe attenuation. Conventional windows generally control these characteristics by only one parameter, so there is a trade-off problem. To reduce the effect of spectral leakage, a window function can be used whose amplitude tapers smoothly and gradually toward zero at both ends. To overcome this problem, we propose using grouped spline windows with two control parameters for power spectral density estimation and analyze its characteristics.
  • Keywords
    estimation theory; spectral analysis; splines (mathematics); control parameters; conventional windows; grouped spline windows; power spectral density estimation; sidelobe attenuation; spectral leakage; window function; Attenuation; Bandwidth; Convolution; Estimation; Polynomials; Spline; System-on-a-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems (ISSCS), 2011 10th International Symposium on
  • Conference_Location
    lasi
  • Print_ISBN
    978-1-61284-944-7
  • Type

    conf

  • DOI
    10.1109/ISSCS.2011.5978753
  • Filename
    5978753