4 citations · 8 across the 10 of their papers we have counts for
10 papers
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…
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…
Iterative-Promoting Variable Step Size Least Mean Square Algorithm for Accelerating Adaptive Channel Estimation
Beiyi Liu, Guan Gui, Li Xu +1
Invariable step size based least-mean-square error (ISS-LMS) was considered as a very simple adaptive filtering algorithm and hence it has been widely utilized in many applications…
Block Bayesian Sparse Learning Algorithms With Application to Estimating Channels in OFDM Systems
Guan Gui, Li Xu, Lin Shan
Cluster-sparse channels often exist in frequencyselective fading broadband communication systems. The main reason is received scattered waveform exhibits cluster structure which is…