72 citations · 103 across the 3 of their papers we have counts for
5 papers
Study of Robust Sparsity-Aware RLS algorithms with Jointly-Optimized Parameters for Impulsive Noise Environments
Y. Yu, L. Lu, Y. Zakharov +2
This paper proposes a unified sparsity-aware robust recursive least-squares RLS (S-RRLS) algorithm for the identification of sparse systems under impulsive noise. The proposed algo…
Robust DCD-Based Recursive Adaptive Algorithms
Y. Yu, L. Lu, Z. Zheng +3
The dichotomous coordinate descent (DCD) algorithm has been successfully used for significant reduction in the complexity of recursive least squares (RLS) algorithms. In this work,…
Study of Robust Distributed Diffusion RLS Algorithms with Side Information for Adaptive Networks
Y. Yu, H. Zhao, R. C. de Lamare +2
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…
Study of Robust Diffusion Recursive Least Squares Algorithms with Side Information for Networked Agents
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…
Study of BEM-Type Channel Estimation Techniques for 5G Multicarrier Systems
J. Dias, R. C. de Lamare, Y. Zakharov
In this paper, we investigate channel estimation techniques for 5G multicarrier systems. Due to the characteristics of the 5G application scenarios, channel estimation techniques h…