• DocumentCode
    3339049
  • Title

    A windowing condition for characterization of finite signals from spectral phase or magnitude

  • Author

    Shetty, Sachin ; McDonald, John N. ; Cochran, Douglas

  • Author_Institution
    Arizona State Univ., Tempe, AZ, USA
  • Volume
    6
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    3889
  • Abstract
    Reconstruction of a signal from its spectral phase or magnitude is in general an ill-posed problem. Various conditions restricting the class of signals under consideration have been shown to be sufficient to regularize the problem so that a unique or essentially unique signal corresponds to any given spectral magnitude or spectral phase function. This paper shows that a finite discrete-time signal is characterized by its spectral magnitude (or phase) and the spectral magnitude (or phase) of an ancillary signal obtained by windowing the original signal
  • Keywords
    Fourier analysis; signal reconstruction; spectral analysis; ancillary signal; finite discrete-time signal; ill-posed problem; signal reconstruction; spectral magnitude function; spectral phase function; windowing condition; Books; Crystallography; Discrete transforms; Fourier transforms; Optical signal processing; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.940693
  • Filename
    940693