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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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5 papers · 1 filter

eess.SY2019★ 1 cited

Minimum Error Entropy Kalman Filter

Badong Chen, Lujuan Dang, Yuantao Gu +2

To date most linear and nonlinear Kalman filters (KFs) have been developed under the Gaussian assumption and the well-known minimum mean square error (MMSE) criterion. In order to…

eess.SY2016★ 2 cited

KLMAT: A Kernel Least Mean Absolute Third Algorithm

Lu Lu, Haiquan Zhao, Badong Chen

In this paper, a kernel least mean absolute third (KLMAT) algorithm is developed for adaptive prediction. Combining the benefits of the kernel method and the least mean absolute th…

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)…

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…