72 citations · 153 across the 15 of their papers we have counts for
15 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…
Study of filtered-x logarithmic recursive least -power algorithm
Z. Zheng, L. Lu, Y. Yu +2
For active impulsive noise control, a filtered-x recursive least -power (FxRLP) algorithm is proposed by minimizing the weighted summation of the -power of the \emph{a poster…
Study of Proximal Normalized Subband Adaptive Algorithm for Acoustic Echo Cancellation
Gang Guo, Yi Yu, Rodrigo C. de Lamare +3
In this paper, we propose a novel normalized subband adaptive filter algorithm suited for sparse scenarios, which combines the proportionate and sparsity-aware mechanisms. The prop…
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…