• DocumentCode
    3589308
  • Title

    A new reasoning based filter

  • Author

    Doroodchi, Mdmood ; Reza, Ali M.

  • Author_Institution
    Wisconsin Univ., Milwaukee, WI, USA
  • Volume
    3
  • fYear
    2000
  • fDate
    6/22/1905 12:00:00 AM
  • Firstpage
    1656
  • Abstract
    A novel fuzzy filter is proposed. As recent studies show (Y. Choi and R. Krishnapuram, 1997), developing a rule based system capable of addressing all the different issues in filtering seems to be a tedious task and requires a large rule base. But nevertheless, if we can transform the features (such as amplitude, location and/or time index) into a higher dimension feature space, we can have a data set with more separation between “noisy” and “clean” signals. Therefore, the decision boundaries would be mathematically less complicated, and consequently a smaller number of rules is needed
  • Keywords
    filtering theory; fuzzy logic; fuzzy set theory; fuzzy systems; inference mechanisms; knowledge based systems; signal processing; uncertainty handling; amplitude; data set; decision boundaries; fuzzy filter; higher dimension feature space; location; noisy signals; reasoning based filter; rule based system; time index; Additive noise; Decision making; Filtering; Filters; Fires; Fuzzy systems; Gaussian noise; Noise cancellation; Prototypes; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2000 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-6583-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2000.886345
  • Filename
    886345