• DocumentCode
    2640239
  • Title

    Detection issues over multiresolution subspaces

  • Author

    Erdol, Nurgun ; Bao, Fag

  • Author_Institution
    Dept. of Electr. Eng., Florida Atlantic Univ., Boca Raton, FL, USA
  • Volume
    2
  • fYear
    1998
  • fDate
    1-4 Nov. 1998
  • Firstpage
    1374
  • Abstract
    In this article we extend our earlier work and explore rigorously the environment supported by multiresolution subspaces. Specifically, we obtain the relationships between Karhunen-Loeve (KL) bases derived from the projections of signals onto subspaces and sums of subspaces; derive the detectability measures over subspaces and discuss detection strategies from the view point of maximizing detectability. The purpose of this paper is to establish the rules for optimal detection over multiresolution subspaces. It is expected that the theory developed will be useful in developing strategies for optimal and sub-optimal detectors.
  • Keywords
    Gaussian noise; optimisation; signal detection; signal resolution; wavelet transforms; KL bases; Karhunen-Loeve bases; additive Gaussian noise; detectability measures; multiresolution subspaces; optimal detection; optimal detectors; signal detection; signal projections; sub-optimal detectors; wavelets; Additive noise; Artificial intelligence; Eigenvalues and eigenfunctions; Gaussian noise; Gold; Matched filters; Multiresolution analysis; Signal resolution; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-5148-7
  • Type

    conf

  • DOI
    10.1109/ACSSC.1998.751551
  • Filename
    751551