Frequency domain maximum correntropy criterion spline adaptive filtering

• Published in: Scientific reports Vol. 11; no. 1; pp. 24048 - 12
• Main Authors: Guo, Wenyan, Zhi, Yongfeng, Feng, Kai
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 15.12.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166/987; 639/705/1041; Algorithms; Computer applications; Humanities and Social Sciences; multidisciplinary; Science; Science (multidisciplinary)
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-021-01863-6

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.