73 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Rikkyo UniversityJP7 papers
- National Astronomical Observatory of JapanJP5 papers
- Tohoku UniversityJP4 papers
- National Institute of Information and Communications TechnologyJP3 papers
- Kyoto UniversityJP2 papers
- Kyushu UniversityJP2 papers
- Sumitomo Mitsui Banking CorporationJP2 papers
- Xi'an Jiaotong UniversityCN2 papers
- Advanced Photon Source1 paper
- Argonne National LaboratoryUS1 paper
- Brookhaven National LaboratoryUS1 paper
- Chuo UniversityJP1 paper
6 papers · 2 filters
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…
Affine Combination of Two Adaptive Sparse Filters for Estimating Large Scale MIMO Channels
Guan Gui, Li Xu
Large scale multiple-input multiple-output (MIMO) system is considered one of promising technologies for realizing next-generation wireless communication system (5G) to increasing…
Adaptive MIMO Channel Estimation using Sparse Variable Step-Size NLMS Algorithms
Guan Gui, Li Xu, Lin Shan +1
To estimate multiple-input multiple-output (MIMO) channels, invariable step-size normalized least mean square (ISSNLMS) algorithm was applied to adaptive channel estimation (ACE).…
Novel Realization of Adaptive Sparse Sensing with Sparse Least Mean Fourth Algorithm
Guan Gui, Li Xu, Xiao-mei Zhu +1
Nonlinear sparse sensing (NSS) techniques have been adopted for realizing compressive sensing (CS) in many applications such as Radar imaging and sparse channel estimation. Unlike…
RZA-NLMF algorithm based adaptive sparse sensing for realizing compressive sensing problems
Guan Gui, Li Xu, Fumiyuki Adachi
Nonlinear sparse sensing (NSS) techniques have been adopted for realizing compressive sensing in many applications such as Radar imaging. Unlike the NSS, in this paper, we propose…
Compressive sensing based Bayesian sparse channel estimation for OFDM communication systems: high performance and low complexity
Guan Gui, Li Xu, Lin Shan +1
In orthogonal frequency division modulation (OFDM) communication systems, channel state information (CSI) is required at receiver due to the fact that frequency-selective fading ch…