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20152022
most citedStudy of Robust Diffusion Recursive Least Squares Algorithms with Side Information for Networked Agents

72 citations · 163 across the 21 of their papers we have counts for

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9 papers · 1 filter

eess.SP2022

Study of General Robust Subband Adaptive Filtering

Yi Yu, Hongsen He, Rodrigo C. de Lamare +1

In this paper, we propose a general robust subband adaptive filtering (GR-SAF) scheme against impulsive noise by minimizing the mean square deviation under the random-walk model wi…

eess.SP2022★ 31 cited

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…

eess.SP2022

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…

eess.SP2022

Study of Frequency domain exponential functional link network filters

T. Yu, S. Tana, R. C. de Lamareb +1

The exponential functional link network (EFLN) filter has attracted tremendous interest due to its enhanced nonlinear modeling capability. However, the computational complexity wil…

eess.SP2021★ 4 cited

A survey on active noise control techniques -- Part I: Linear systems

Lu Lu, Kai-Li Yin, Rodrigo C. de Lamare +4

Active noise control (ANC) is an effective way for reducing the noise level in electroacoustic or electromechanical systems. Since its first introduction in 1936, this approach has…

eess.SP2021

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…

eess.SP2020

Sparsity-Aware SSAF Algorithm with Individual Weighting Factors for Acoustic Echo Cancellation

Yi Yu, Tao Yang, Hongyang Chen +2

In this paper, we propose and analyze the sparsity-aware sign subband adaptive filtering with individual weighting factors (S-IWF-SSAF) algorithm, and consider its application in a…

eess.SP2018

Study of Sparsity-Aware Subband Adaptive Filtering Algorithms with Adjustable Penalties

Y. Yu, H. Zhao, R. C. de Lamare

We propose two sparsity-aware normalized subband adaptive filter (NSAF) algorithms by using the gradient descent method to minimize a combination of the original NSAF cost function…

eess.SP2017

Mean-Square Performance Analysis of Noise-Robust Normalized Subband Adaptive Filter Algorithm

Yi Yu, Haiquan Zhao, Badong Chen +2

This paper studies the statistical models of the noise-robust normalized subband adaptive filter (NR-NSAF) algorithm in the mean and mean square deviation senses involving transien…