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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.
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Details
1 Northwestern Polytechnical University, School of Automation, Xi’an, China (GRID:grid.440588.5) (ISNI:0000 0001 0307 1240); Science and Technology on Electromechanical Dynamic Control Laboratory, Xi’an, China (GRID:grid.440588.5)
2 Science and Technology on Electro-Optical Information Security Control Laboratory, Tianjin, China (GRID:grid.440588.5)