A new reasoning based filter
Mahmood Doroodchi, Arghandeh Reza · 2002
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.