• DocumentCode
    3362967
  • Title

    Uncertainty principles, signal recovery, finite Toeplitz forms, and approximation theory: connections and applications to limited angle tomography

  • Author

    Olson, Tim

  • Author_Institution
    Dept. of Math., Dartmouth Coll., Hanover, NH, USA
  • fYear
    1994
  • fDate
    25-28 Oct 1994
  • Firstpage
    190
  • Lastpage
    193
  • Abstract
    A common imaging problem is the recovery of an unknown portion of a signal which cannot be gathered because of physical constraints on the system. We discuss a number of approaches to this type of problem, and the interconnections between these different approaches. We will then apply these ideas to the limited angle tomography problem
  • Keywords
    Toeplitz matrices; approximation theory; image reconstruction; indeterminancy; tomography; approximation theory; finite Toeplitz forms; imaging problem; limited angle tomography; physical constraints; signal recovery; uncertainty principles; Approximation methods; Constraint theory; Discrete Fourier transforms; Educational institutions; Fourier transforms; Iterative algorithms; Mathematics; Tomography; Uncertainty; Zinc;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    0-7803-2127-8
  • Type

    conf

  • DOI
    10.1109/TFSA.1994.467261
  • Filename
    467261