6 citations · 29 across the 106 of their papers we have counts for
9 papers · 1 filter
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…
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…
Robust Adaptive Filtering Based on Exponential Functional Link Network
T. Yu, W. Li, Y. Yu +1
The exponential functional link network (EFLN) has been recently investigated and applied to nonlinear filtering. This brief proposes an adaptive EFLN filtering algorithm based on…
Study of Energy-Efficient Distributed RLS-based Learning with Coarsely Quantized Signals
A. Danaee, R. C. de Lamare, V. H. Nascimento
In this work, we present an energy-efficient distributed learning framework using coarsely quantized signals for Internet of Things (IoT) networks. In particular, we develop a dist…
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…
Compressed Sensing with Probability-based Prior Information
Q. Jiang, S. Li, Z. Zhu +3
This paper deals with the design of a sensing matrix along with a sparse recovery algorithm by utilizing the probability-based prior information for compressed sensing system. With…