72 citations · 153 across the 15 of their papers we have counts for
7 papers · 1 filter
Set-membership NLMS algorithm based on bias-compensated and regression noise variance estimation for noisy inputs
Kaili Yin, Haiquan Zhao, Lu Lu
The bias-compensated set-membership normalised LMS (BCSMNLMS) algorithm is proposed based on the concept of set-membership filtering, which incorporates the bias-compensation techn…
Adaptive beamforming method based on recursive maximum correntropy in impulsive noise with alpha-stable process
Lu Lu, Haiquan Zhao
As a well-established adaptation criterion, the maximum correntropy criterion (MCC) has been receiving increasing attention due to its robust against outliers. In this paper, a new…
A Class of Diffusion Algorithms with Logarithmic Cost over Adaptive Sparse Volterra Network
Lu Lu, Haiquan Zhao
In this Letter, we present a novel class of diffusion algorithms that can be used to estimate the coefficients of sparse Volterra network (SVN). The development of the algorithms i…
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…
Diffusion leaky LMS algorithm: analysis and implementation
Lu Lu, Haiquan Zhao
The diffusion least-mean square (dLMS) algorithms have attracted much attention owing to its robustness for distributed estimation problems. However, the performance of such filter…
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)…