Title :
A new reasoning based filter
Author :
Doroodchi, Mdmood ; Reza, Ali M.
Author_Institution :
Wisconsin Univ., Milwaukee, WI, USA
fDate :
6/22/1905 12:00:00 AM
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;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.886345