Abstract:
This paper proposes a normalised least mean square algorithm based on Hammerstein spline adaptive filtering. A nonlinear Hammerstein adaptive filters consists of memory-l...Show MoreMetadata
Abstract:
This paper proposes a normalised least mean square algorithm based on Hammerstein spline adaptive filtering. A nonlinear Hammerstein adaptive filters consists of memory-less function modified during learning and the spline control point is automatically controlled by gradient-based method. Simulation results demonstrate that the proposed algorithm exhibits more robust performance compared with the conventional spline adaptive filtering algorithms.
Published in: 2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
Date of Conference: 03-06 December 2019
Date Added to IEEE Xplore: 10 February 2020
ISBN Information: