• DocumentCode
    336943
  • Title

    Nonperiodic sampling and reconstruction from averages

  • Author

    Walnut, David

  • Author_Institution
    Dept. of Math. Sci., George Mason Univ., Fairfax, VA, USA
  • Volume
    4
  • fYear
    1999
  • fDate
    15-19 Mar 1999
  • Firstpage
    2051
  • Abstract
    We show that recovery of a function from its averages over squares in the plane is closely related to a problem of recovery of bandlimited functions from samples on unions of regular lattices. We use this observation to construct explicit solutions to the Bezout equation which can be easily implemented in software. We also show that these sampling results give a new proof of the “three squares theorem” which says that a function in the plane can be recovered from its averages on translates of three squares oriented parallel to the coordinate axes whose sidelengths are pairwise irrationally related. Other proofs of this theorem and construction of solution to the Bezout equation rely on interpolation methods in the theory of functions of one and several complex variables. Our sampling technique gives much simpler solutions especially in higher dimensions
  • Keywords
    deconvolution; signal reconstruction; signal sampling; Bezout equation; averages; bandlimited functions; complex variables; coordinate axes; explicit solutions; function recovery; image recovery; interpolation methods; multisensor deconvolution problem; nonperiodic sampling; regular lattices union; samples; sidelengths; signal reconstruction; software implementation; three squares theorem proof; Convolvers; Equations; Image reconstruction; Lattices; Optical sensors; Sampling methods; Signal resolution; Sufficient conditions; Vents; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-5041-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1999.758333
  • Filename
    758333