• DocumentCode
    1125783
  • Title

    Finite Prolate Spheroidal Sequences and Their Applications I: Generation and Properties

  • Author

    Wilson, Roland

  • Author_Institution
    Department of Computer Science, University of Warwick, Coventry CV4 7AL, England.
  • Issue
    6
  • fYear
    1987
  • Firstpage
    787
  • Lastpage
    795
  • Abstract
    The finite prolate spheroidal sequences are those finite sequences which have extremal energy concentrations both in space and spatial frequency. The first part of the paper is devoted to a study of the eigenvalue problem defining the sequences. This reveals those fundamental properties of the sequences which are relevant in image processing applications and shows how they can be generated efficiently. A new version of the sampling theorem is also demonstrated.
  • Keywords
    Discrete Fourier transforms; Eigenvalues and eigenfunctions; Frequency; Image processing; Image sampling; Sampling methods; Signal processing; Signal sampling; Uncertainty; Vectors; Eigenvalue analysis; feature description; spatial frequency filtering; uncertainty principle;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1987.4767985
  • Filename
    4767985