• DocumentCode
    1941596
  • Title

    The digital prolate spheroidal window

  • Author

    Verma, Tony ; Bilbao, Stefan ; Meng, Teresa H Y

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA, USA
  • Volume
    3
  • fYear
    1996
  • fDate
    7-10 May 1996
  • Firstpage
    1351
  • Abstract
    The optimal window, the time limited sequence whose energy is most concentrated in a finite frequency interval, is related to a particular discrete prolate spheroidal sequence. The optimal window is actually a family of windows with many degrees of freedom. The Kaiser (1974) window is an approximation to this optimal window. Kaiser used this approximation because the standard method employed to compute the optimal window is numerically ill-conditioned. We show the actual optimal window can be efficiently computed by using an alternative formulation of the discrete prolate spheroidal sequences. We then give a set of design formulas to generate the optimal window for the desired window length, mainlobe width, and relative peak sidelobe height
  • Keywords
    Bessel functions; approximation theory; filtering theory; sequences; signal processing; Bessel function; Kaiser window; approximation; design formulas; digital prolate spheroidal window; discrete prolate spheroidal sequence; discrete signal; filter design; finite frequency interval; mainlobe width; optimal window; peak sidelobe height; time limited sequence; window length; Acoustics; Bandwidth; Eigenvalues and eigenfunctions; Equations; Frequency; Laboratories; Music; Wave functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-3192-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1996.543677
  • Filename
    543677