no code implementations • 9 Apr 2022 • Y. Yu, L. Lu, Y. Zakharov, R. C. de Lamare, B. Chen
This paper proposes a unified sparsity-aware robust recursive least-squares RLS (S-RRLS) algorithm for the identification of sparse systems under impulsive noise.
no code implementations • 18 Aug 2019 • Y. Yu, L. Lu, Z. Zheng, W. Wang, Y. Zakharov, R. C. de Lamare
The dichotomous coordinate descent (DCD) algorithm has been successfully used for significant reduction in the complexity of recursive least squares (RLS) algorithms.
no code implementations • 4 Feb 2019 • Y. Yu, H. Zhao, R. C. de Lamare, Y. Zakharov, L. Lu
This work develops robust diffusion recursive least squares algorithms to mitigate the performance degradation often experienced in networks of agents in the presence of impulsive noise.
no code implementations • 24 Dec 2018 • Y. Yu, R. C. de Lamare, Y. Zakharov
This work develops a robust diffusion recursive least squares algorithm to mitigate the performance degradation often experienced in networks of agents in the presence of impulsive noise.