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20142023
most citedGeneralized Correntropy for Robust Adaptive Filtering

780 citations · 1.6k across the 54 of their papers we have counts for

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Showing 2015Show all

9 papers · 1 filter

cs.OH2015★ 26 cited

Two improved normalized subband adaptive filter algorithms with good robustness against impulsive interferences

Yi Yu, Haiquan Zhao, Badong Chen +1

To improve the robustness of subband adaptive filter (SAF) against impulsive interferences, we propose two modified SAF algorithms with an individual scale function for each subban…

eess.SY2015★ 6 cited

Set-membership improved normalized subband adaptive filter algorithms for acoustic echo cancellation

Yi Yu, Haiquan Zhao, Badong Chen

In order to improve the performances of recently-presented improved normalized subband adaptive filter (INSAF) and proportionate INSAF algorithms for highly noisy system, this pape…

eess.SY2015★ 1 cited

Variable-mixing parameter quantized kernel robust mixed-norm algorithms for combating impulsive interference

Lu Lu, Haiquan Zhao, Badong Chen

Although the kernel robust mixed-norm (KRMN) algorithm outperforms the kernel least mean square (KLMS) algorithm in impulsive noise, it still has two major problems as follows: (1)…

stat.ML2015★ 2 cited

Diffusion Maximum Correntropy Criterion Algorithms for Robust Distributed Estimation

Wentao Ma, Badong Chen, Jiandong Duan +1

Robust diffusion adaptive estimation algorithms based on the maximum correntropy criterion (MCC), including adaptation to combination MCC and combination to adaptation MCC, are dev…

eess.SY2015★ 29 cited

A novel normalized sign algorithm for system identification under impulsive noise interference

Lu Lu, Haiquan Zhao, Kan Li +1

To overcome the performance degradation of adaptive filtering algorithms in the presence of impulsive noise, a novel normalized sign algorithm (NSA) based on a convex combination s…

cs.IT2015

Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments

Wentao Ma, Hua Qua, Guan Gui +3

Sparse adaptive channel estimation problem is one of the most important topics in broadband wireless communications systems due to its simplicity and robustness. So far many sparsi…