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.
ÖZER, ŞABAN and ZORLU, HASAN
"Neuro-fuzzy soft-switching hybrid filter for impulsive noisy environments,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 19:
1, Article 6.
Available at: https://journals.tubitak.gov.tr/elektrik/vol19/iss1/6