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

Authors : Şaban ÖZER, Hasan ZORLU

Pages : 73-85

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Publication Date : 0000-00-00

Article Type : Research Paper

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 insert ignore into journalissuearticles values(FIR); filter, an adaptive weighted myriad insert ignore into journalissuearticles values(WMy); filter, and a soft-switching mechanism based on a neuro-fuzzy insert ignore into journalissuearticles values(NF); network. Performance of the hybrid filter was tested in a-stable noisy situations and compared with adaptive FIR, WMy, and weighted median insert ignore into journalissuearticles values(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.
Keywords : a stable noise, nonlinear filtering, myriad filter, hybrid filter