• DocumentCode
    2144476
  • Title

    The Design and Analysis of Improved Adaptive Generalized Morphological Filter

  • Author

    Jing Wang ; Pan Liu ; Di-chen Liu

  • Author_Institution
    Sch. of Electr. Eng., Wuhan Univ., Wuhan
  • Volume
    1
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    106
  • Lastpage
    111
  • Abstract
    An improved adaptive generalized morphological filter is proposed in this paper. With respect to the different types of interference possibly encountered in power system signal, detailed investigations are carried out through numerical simulation, regarding the impacts of the amplitude and width of a structure element on the performance of the improved adaptive generalized morphological filter. With the lessening of amplitude and the increase of length of structural elements, the optimal value of step parameter of filter remains unchanged basically or augment gradually and the filtering performance of filter meliorate gradually. Under same amplitude and length conditions, the filtering performance of improved adaptive generalized morphological filter is better than adaptive generalized morphological filter. Simulation results show that the improved adaptive generalized morphological filter can effectively suppress various noises in the sampling signals of power system. The consumption of time of filter is shorter than adaptive generalized morphological filter and the filtering effect is better. So the simulation results prove the effectiveness and practicality of improved adaptive generalized morphological filter.
  • Keywords
    adaptive signal processing; filtering theory; mathematical morphology; signal denoising; adaptive generalized morphological filter; filtering performance; noise suppression; power system sampling signals; power system signal; Adaptive filters; Additive white noise; Digital filters; Filtering; Interference; Power system analysis computing; Power system simulation; Signal analysis; Signal processing; Signal sampling; adaptive filter; mathematical morphology; power system noise; structure element;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2008. CISP '08. Congress on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3119-9
  • Type

    conf

  • DOI
    10.1109/CISP.2008.506
  • Filename
    4566128