Title :
IIR and FIR fuzzy filters
Author :
Baglio, S. ; Fortuna, L. ; Presti, M. Lo ; Vinci, C.
Author_Institution :
Dipartimento di Elettrico, Elettron. e Sistemistico, Catania Univ., Italy
Abstract :
In this paper a methodology for the design of FIR and IIR fuzzy filters is presented. The choice to implement fuzzy filters rises from the obvious advantages in terms of low computational costs and easy implementation. The validation of the proposed methodology has been performed through the analysis of several examples of fuzzy filters. The obtained results show the suitability of the method over classical design techniques
Keywords :
FIR filters; IIR filters; filtering theory; fuzzy logic; fuzzy set theory; FIR fuzzy filters; IIR fuzzy filters; design technique; Computational efficiency; Design methodology; Finite impulse response filter; Fuzzy logic; Fuzzy sets; IIR filters; Inference algorithms; Input variables; Performance analysis; Voltage;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.343198
