1 citations · 1 across the 4 of their papers we have counts for
4 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…
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 Re-Weighted L1-norm Normalized Least Mean Fourth Algorithm
Chen Ye, Guan Gui, Li Xu +1
In next-generation wireless communications systems, accurate sparse channel estimation (SCE) is required for coherent detection. This paper studies SCE in terms of adaptive filteri…
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…