• DocumentCode
    1825544
  • Title

    Characterization of non-uniformly spaced discrete-time signals from their Fourier magnitude

  • Author

    Siefker, Andrew

  • Author_Institution
    Dept. of Math. & Stat., Murray State Univ., KY, USA
  • Volume
    2
  • fYear
    1999
  • fDate
    24-27 Oct. 1999
  • Firstpage
    1052
  • Abstract
    Hayes (1980) presented conditions under which a sequence of real numbers is uniquely specified to within a sign factor and an integral, horizontal translation by the magnitude of its Fourier transform. This paper presents conditions under which a complex-valued, discrete-time function of finite duration is uniquely determined to within a time shift and a multiplicative constant of unit modulus by its Fourier magnitude. The result presented here is a generalization of Hayes´ result. The proof of the theorem utilizes Hadamard´s factorization theorem and is different from previous approaches.
  • Keywords
    Fourier transforms; discrete time systems; signal reconstruction; signal representation; Fourier magnitude; Fourier transform; Hadamard factorization theorem; complex-valued discrete-time function; finite duration; integral horizontal translation; multiplicative constant; nonuniformly spaced discrete-time signals; real numbers; sign factor; time shift; Fourier transforms; Mathematics; Nonuniform sampling; Polynomials; Sampling methods; Signal mapping; Signal representations; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-5700-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.1999.831870
  • Filename
    831870