• DocumentCode
    1990216
  • Title

    Phase retrieval using the wavelet transform

  • Author

    Bell, Amy E.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    3
  • fYear
    1996
  • fDate
    7-10 May 1996
  • Firstpage
    1695
  • Abstract
    The 1-D phase retrieval problem is to reconstruct a signal given the modulus of its Fourier transform. Conventional solution techniques approximate the solution by discretizing this continuous problem. Our solution obviates this approximation by employing basis functions to better represent a continuous signal. In particular, we use wavelet bases because they provide a structure which permits the use of a fast algorithm and because they incorporate a priori knowledge of the signal. This paper develops our algorithm and illustrates its effectiveness with numerical examples
  • Keywords
    Fourier transforms; signal reconstruction; signal representation; wavelet transforms; 1D phase retrieval problem; Fourier transform modulus; basis functions; continuous problem; continuous signal representation; fast algorithm; signal reconstruction; wavelet bases; wavelet transform; Autocorrelation; Continuous wavelet transforms; Discrete Fourier transforms; Discrete wavelet transforms; Filters; Fourier transforms; Integral equations; Linear systems; Signal synthesis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-3192-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1996.544133
  • Filename
    544133