• DocumentCode
    3475855
  • Title

    Extrapolation of bandlimited signals from finite samples via moments

  • Author

    Emre, E.

  • Author_Institution
    Dept. of Electr. Eng., Texas Tech Univ., Lubbock, TX, USA
  • fYear
    1991
  • fDate
    11-13 Dec 1991
  • Firstpage
    2383
  • Abstract
    Techniques are developed for extrapolation of bandlimited signals from a finite number of samples. This arises in such applications as radar, power spectral density functions, and spatial temporal mode estimation in arrays of sensors. The techniques are based on the use of prolate spherical functions, certain results from interpolation via the classical moments, and approximation theory. The results also yield solutions to the trigonometric moment problem. A more direct extrapolation approach is given in terms of both trigonometric and classical moments, which does not require interpolation but which requires approximation of the Fourier transforms of prolate spherical functions
  • Keywords
    Fourier transforms; extrapolation; interpolation; signal processing; Fourier transforms; approximation theory; bandlimited signal extrapolation; finite samples; interpolation; power spectral density functions; prolate spherical functions; radar; sensor arrays; spatial temporal mode estimation; trigonometric moment problem; Approximation methods; Clutter; Density functional theory; Extrapolation; Fourier transforms; Image sensors; Interpolation; Least squares approximation; Probability density function; Radar applications; Sensor arrays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
  • Conference_Location
    Brighton
  • Print_ISBN
    0-7803-0450-0
  • Type

    conf

  • DOI
    10.1109/CDC.1991.261615
  • Filename
    261615