• DocumentCode
    1429458
  • Title

    Generalized Prolate Spheroidal Wave Functions Associated With Linear Canonical Transform

  • Author

    Zhao, Hui ; Ran, Qi-Wen ; Ma, Jing ; Tan, Li-Ying

  • Author_Institution
    Nat. Key Lab. of Tunable Laser Technol., Harbin Inst. of Technol., Harbin, China
  • Volume
    58
  • Issue
    6
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    3032
  • Lastpage
    3041
  • Abstract
    Time-limited and (a, b, c, d)-band-limited signals are of great interest not only in theory but also in real applications. In this paper, we use the sampling theorem associated with linear canonical transform to investigate an operator whose effect on a signal is to produce its first time-limited then (b, b, c, d)-band-limited version. First, the eigenvalue problem for the operator is shown to be equivalent to a discrete eigenvalue problem for an infinite matrix. Then the eigenfunctions of the operator, which are referred to as generalized prolate spheroidal wave functions (GPSWFs), are shown to be first, orthogonal over finite as well as infinite intervals, and second, complete over L2(-L, L) and the class of (a, b, c, d)-band-limited signals. A simple method based on sampling theorem for computing GPSWFs is presented and the definite parity of GPSWFs is also given. Finally, based on the dual orthogonality and completeness of GPSWFs, several applications of GPSWFs to the representation of time-limited and (a, b, c, d)-band-limited signals are presented.
  • Keywords
    eigenvalues and eigenfunctions; matrix algebra; signal representation; signal sampling; transforms; band-limited signal representation; discrete eigenvalue problem; generalized prolate spheroidal wave functions; infinite matrix; linear canonical transform; sampling theorem; time-limited signal representation; Band-limited signal; eigenvalue problem; generalized prolate spheroidal wave functions (GPSWFs); linear canonical transform; time-limited signal;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2010.2044609
  • Filename
    5422753