Neuro-fuzzy soft-switching hybrid filter for impulsive noisy environments

Authors

ŞABAN ÖZER
HASAN ZORLU

Abstract

In this study, a new soft-switching hybrid filter based on a neuro-fuzzy network for impulsive noisy environments is proposed. The hybrid filter was built by combining an adaptive finite impulse response (FIR) filter, an adaptive weighted myriad (WMy) filter, and a soft-switching mechanism based on a neuro-fuzzy (NF) network. Performance of the hybrid filter was tested in \alpha-stable noisy situations and compared with adaptive FIR, WMy, and weighted median (WMd) filter performances. According to the simulation results; the proposed hybrid filter has better performance than the adaptive FIR, WMy, and WMd filters, and has the ability of effectively suppressing the impulsive noisy environments.

DOI

10.3906/elk-1002-407

Keywords

\alpha-stable noise, nonlinear filtering, myriad filter, hybrid filter

First Page

73

Last Page

85

Recommended Citation

ÖZER, ŞABAN and ZORLU, HASAN (2011) "Neuro-fuzzy soft-switching hybrid filter for impulsive noisy environments," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 19: No. 1, Article 6. https://doi.org/10.3906/elk-1002-407
Available at: https://journals.tubitak.gov.tr/elektrik/vol19/iss1/6