• DocumentCode
    2745036
  • Title

    Improved noise stability multiresolution filters based on a class of wavelets

  • Author

    Matalgah, Mustafa ; Knopp, Jerome

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Missouri Univ., Kansas City, MO, USA
  • Volume
    2
  • fYear
    1994
  • fDate
    3-5 Aug 1994
  • Firstpage
    817
  • Abstract
    Signal detection in the presence of additive noise is a central problem in signal processing. Multiresolution filters based on wavelets are introduced. An analytic solution for the scale parameter “a” in a way that guarantees high stability relative to the level of additive noise is presented. The filter performance is examined in detection of monochromatic signals in white noise. Our results are shown to be competitive with matched filters
  • Keywords
    circuit noise; circuit stability; filtering theory; signal detection; wavelet transforms; white noise; Gabor wavelets; SNR; additive noise; filter performance; monochromatic signal detection; multiresolution filters; noise stability; scale parameter; signal processing; wavelet transform; white noise; Additive noise; Frequency; Matched filters; Signal detection; Signal processing; Signal resolution; Stability; Stability analysis; Transient analysis; Wavelet transforms; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
  • Conference_Location
    Lafayette, LA
  • Print_ISBN
    0-7803-2428-5
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1994.518939
  • Filename
    518939