DocumentCode :
3659694
Title :
Polynomial predictive filters: complementing technique to fuzzy filtering
Author :
S. Valiviita; Xiao Zhi Gao;S.J. Ovaska
Author_Institution :
Inst. of Intelligent Power Electron., Helsinki Univ. of Technol., Espoo, Finland
Volume :
5
fYear :
1998
Firstpage :
4648
Abstract :
Dealing with impulsive noise remains one of the great engineering challenges due to the difficulties in modeling and filtering impulsive noise. Since impulsive noise is, in general, a non-stationary stochastic process, neural networks and fuzzy systems have been applied to deal with it. In many cases, however, the underlying primary signal is smoothly changing. Therefore, a more simple approach, namely polynomial predictive filtering, can successfully be applied instead of soft computing methods. In this paper, we present a filtering system which consists of a cascade of a median filter and a polynomial predictive filter. The proposed system is capable of removing the strong impulses that are present in the polynomial-like input signal without introducing a disturbing delay. The simulation results are compared with the corresponding results obtained by applying fuzzy filtering. Finally, we consider an interesting concept called smoothness of a signal; we will show that the choice of feasible filtering approach and its parameters is dependent on the degree of smoothness of the signal to be filtered.
Keywords :
"Polynomials","Nonlinear filters","Filtering","Predictive models","Fuzzy systems","Sampling methods","Delay","Bandwidth","Power electronics","Electronic mail"
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-4778-1
Type :
conf
DOI :
10.1109/ICSMC.1998.727585
Filename :
727585
Link To Document :
بازگشت