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20182022
most citedStudy of Robust Diffusion Recursive Least Squares Algorithms with Side Information for Networked Agents

72 citations · 107 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.LG2022

Sparsity-Aware Robust Normalized Subband Adaptive Filtering algorithms based on Alternating Optimization

Yi Yu, Zongxin Huang, Hongsen He +2

This paper proposes a unified sparsity-aware robust normalized subband adaptive filtering (SA-RNSAF) algorithm for identification of sparse systems under impulsive noise. The propo…

cs.LG2022

Conjugate Gradient Adaptive Learning with Tukey's Biweight M-Estimate

Lu Lu, Yi Yu, Rodrigo C. de Lamare +1

We propose a novel M-estimate conjugate gradient (CG) algorithm, termed Tukey's biweight M-estimate CG (TbMCG), for system identification in impulsive noise environments. In partic…

cs.LG2020

Study of Diffusion Normalized Least Mean M-estimate Algorithms

Y. Yu, H. He, T. Yang +2

This work proposes diffusion normalized least mean M-estimate algorithm based on the modified Huber function, which can equip distributed networks with robust learning capability i…

cs.LG2019

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,…

cs.LG2019

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…