Journal
SIGNAL PROCESSING
Volume 148, Issue -, Pages 234-240Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.sigpro.2018.02.022
Keywords
Spline adaptive filter; Nonlinear adaptive filter; Sign algorithm; Variable step-size
Categories
Funding
- National Natural Science Foundation of China [61501119]
Ask authors/readers for more resources
In this paper, a sign normalised least mean square algorithm (SNLMS) based on Wiener spline adaptive filter, called SAF-SNLMS, is proposed. The proposed algorithm is derived by minimising the absolute value of the a posteriori error. Moreover, to further improve the convergence performance of the SAF-SNLMS, the variable step-size scheme is introduced. Simulation results demonstrate the SAF-SNLMS and its variable step-size variant obtain more robust performance when compared with the existing spline adaptive filter algorithms in impulsive noise. (C) 2018 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available