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Performance Analysis of Robust Subband Hammerstein Spline Adaptive Filter.
- Source :
- Circuits, Systems & Signal Processing; Jan2024, Vol. 43 Issue 1, p368-387, 20p
- Publication Year :
- 2024
-
Abstract
- This article develops a subband Hammerstein spline adaptive filtering (SHSAF) algorithm with the exponential hyperbolic cosine (EHC) cost to acquire robustness against non-Gaussian noises, which is called the SHSAF-EHC algorithm. The delayless multiband-structured subband strategy is employed to enhance the convergence property in the Hammerstein-type nonlinear filtering structure. In addition, the statistical performance analysis of SHSAF-EHC is rigorously derived in the mean and mean-square senses. Numerical experiments under non-Gaussian noise scenarios corroborate the accuracy of theoretical findings and validate the superiority of the proposed algorithm. [ABSTRACT FROM AUTHOR]
- Subjects :
- ADAPTIVE filters
SPLINES
STATISTICS
Subjects
Details
- Language :
- English
- ISSN :
- 0278081X
- Volume :
- 43
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Circuits, Systems & Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- 174759433
- Full Text :
- https://doi.org/10.1007/s00034-023-02476-2