Abstract
A filtering algorithm based on frequency domain spline type, frequency domain spline adaptive filters (FDSAF), effectively reducing the computational complexity of the filter. However, the FDSAF algorithm is unable to suppress non-Gaussian impulsive noises. To suppression non-Gaussian impulsive noises along with having comparable operation time, a maximum correntropy criterion (MCC) based frequency domain spline adaptive filter called frequency domain maximum correntropy criterion spline adaptive filter (FDSAF-MCC) is developed in this paper. Further, the bound on learning rate for convergence of the proposed algorithm is also studied. And through experimental simulations verify the effectiveness of the proposed algorithm in suppressing non-Gaussian impulsive noises. Compared with the existing frequency domain spline adaptive filter, the proposed algorithm has better performance.
Highlights
A filtering algorithm based on frequency domain spline type, frequency domain spline adaptive filters (FDSAF), effectively reducing the computational complexity of the filter
The nonlinear spline adaptive filter (SAF) algorithm is widely utilized in nonlinear modeling due to its simple structure
Several experiments are implemented in order to verify the performance of the proposed FDSAF-maximum correntropy criterion (MCC) against non-Gaussian environments
Summary
A filtering algorithm based on frequency domain spline type, frequency domain spline adaptive filters (FDSAF), effectively reducing the computational complexity of the filter. The FDSAF algorithm is unable to suppress non-Gaussian impulsive noises. To suppression non-Gaussian impulsive noises along with having comparable operation time, a maximum correntropy criterion (MCC) based frequency domain spline adaptive filter called frequency domain maximum correntropy criterion spline adaptive filter (FDSAF-MCC) is developed in this paper. The maximum versoria criterion (MVC) is introduced nonlinear spline adaptive filter, formed SAF-MVC-VMSGD10. Frequency domain spline adaptive filtering (FDSAF) can effectively reduce the computational complexity. The frequency domain spline adaptive filtering is derived by minimising the squared value of the instantaneous error, unable to suppress non-Gaussian impulsive noises. To suppression non-Gaussian impulsive noises along with having comparable operation time, a frequency domain maximum correntropy criterion spline adaptive filter (FDSAF-MCC) is developed in this paper
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