449 citations · 494 across the 26 of their papers we have counts for
6 papers · 2 filters
Regularization Parameter Selection Method for Sign LMS with Reweighted L1-Norm Constriant Algorithm
Guan Gui, Li Xu
Broadband frequency-selective fading channels usually have the inherent sparse nature. By exploiting the sparsity, adaptive sparse channel estimation (ASCE) algorithms, e.g., least…
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…
ROSA: Robust sparse adaptive channel estimation in the presence of impulsive noises
Guan Gui, Li Xu, Nobuhiro Shimoi
Based on the assumption of Gaussian noise model, conventional adaptive filtering algorithms for reconstruction sparse channels were proposed to take advantage of channel sparsity d…
IMAC: Impulsive-mitigation adaptive sparse channel estimation based on Gaussian-mixture model
Tingping Zhang, Jingpei Dan, Guan Gui
Broadband frequency-selective fading channels usually have the inherent sparse nature. By exploiting the sparsity, adaptive sparse channel estimation (ASCE) methods, e.g., reweight…
Improved adaptive sparse channel estimation using mixed square/fourth error criterion
Guan Gui, Li Xu, Shinya Matsushita
Sparse channel estimation problem is one of challenge technical issues in stable broadband wireless communications. Based on square error criterion (SEC), adaptive sparse channel e…
Sparsity Aware Normalized Least Mean p-power Algorithms with Correntropy Induced Metric Penalty
Wentao Ma, Hua Qu, Jihong Zhao +2
For identifying the non-Gaussian impulsive noise systems, normalized LMP (NLMP) has been proposed to combat impulsive-inducing instability. However, the standard algorithm is witho…