Robust Adaptive Filtering Based on Exponential Functional Link Network
Not on the map. Why?
Abstract (arXiv)
The exponential functional link network (EFLN) has been recently investigated and applied to nonlinear filtering. This brief proposes an adaptive EFLN filtering algorithm based on a novel inverse square root (ISR) cost function, called the EFLN-ISR algorithm, whose learning capability is robust under impulsive interference. The steady-state performance of EFLN-ISR is rigorously derived and then confirmed by numerical simulations. Moreover, the validity of the proposed EFLN-ISR algorithm is justified by the actually experimental results with the application to hysteretic nonlinear system identification.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 3 of its 44 references that are in the map. First posted on arXiv 5 Feb 2021.
Builds on
3 of 44 references.
References · 3
- 2016Design of Robust Adaptive Beamforming Algorithms Based on Low-Rank and Cross-Correlation Techniquescited by 20
- 2014Sparsity-Aware Adaptive Algorithms Based on Alternating Optimization with Shrinkagecited by 15
- 2018Study of Robust Diffusion Recursive Least Squares Algorithms with Side Information for Networked Agentscited by 10
Built on by
Citing papers per year: 2022: 3.
3 papers.