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
Link To Document