• DocumentCode
    284937
  • Title

    A reconstruction set of a discrete wavelet maxima representation

  • Author

    Berman, Zeev

  • Author_Institution
    Syst. Res. Center, Maryland Univ., College Park, MD, USA
  • Volume
    4
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    629
  • Abstract
    The structure of a reconstruction set (the set of all signals satisfying a given representation) is studied. Assuming finite data length and using the finite-dimensional linear space approach, a general form of a reconstruction set from a discrete wavelet maxima representation is presented. Necessary and sufficient conditions for uniqueness are described. These conditions can be implemented as a test for uniqueness. Although, in most cases, the discrete wavelet maxima representation is unique, the conjecture about the uniqueness of the wavelet maxima representation is not true. A family of sequences with the same maxima representation is shown. The exact reconstruction set is calculated, and it is shown to consist of similarly shaped sequences
  • Keywords
    signal processing; wavelet transforms; discrete wavelet maxima representation; finite-dimensional linear space approach; reconstruction set; signal processing; uniqueness; Discrete wavelet transforms; Educational institutions; Filters; Gaussian processes; Pattern matching; Sampling methods; Signal detection; Signal representations; Stability; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0532-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1992.226319
  • Filename
    226319