• DocumentCode
    1105702
  • Title

    An RKHS analysis of sampling theorems for harmonic-limited signals

  • Author

    Brown, J.L., Jr.

  • Author_Institution
    Air Force Institute of Technology, Wright Patterson Air Force Base, OH
  • Volume
    33
  • Issue
    2
  • fYear
    1985
  • fDate
    4/1/1985 12:00:00 AM
  • Firstpage
    437
  • Lastpage
    440
  • Abstract
    A T-periodic signal x(t) is said to be K-harmonic limited if, for some integer K > 0, its complex Fourier coefficients {c_{n}} satisfy c_{n} = 0 for |n| > K. Such signals may be completely reconstructed from a finite number of uniformly spaced signal samples taken over a period, a property which facilitates the representation of two-dimensional (polar form) signals used in computerized tomography. By employing a reproducing kernel Hilbert space (RKHS) setting, a generalized theorem for sampling harmonic-limited signals is derived. All the special representations which have appeared in the literature with separate proofs, including three recent versions, [1]-[3], are shown to be special cases of the generalized reconstruction formula. Connections with Fourier series theory and Kramer\´s generalized sampling theorem are also discussed.
  • Keywords
    Application software; Computed tomography; Fourier series; Frequency; Harmonic analysis; Interpolation; Lagrangian functions; Polynomials; Sampling methods; Signal analysis;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/TASSP.1985.1164566
  • Filename
    1164566