Area of research
Signal Processing · Electrical and Electronic Engineering
Research interest
Research interests include Computer science, Algorithm, Channel (broadcasting), MIMO, Bayesian probability, and Sparse approximation.
A knowledge-informed burst-sparsity learning (BSL) with non-uniform pattern-coupled prior for spectroscopic regression
Sparse Bayesian Learning Approach for Compound Bearing Fault Diagnosis
A Monte Carlo resampling based multiple feature-spaces ensemble (MFE) strategy for consistency-enhanced spectral variable selection
Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea
Sparse Bayesian Learning Approach for Broken Rotor Bar Fault Diagnosis
Frequency Estimation of Vibration Signals: A Subspace Approach for Bearing Fault Diagnosis
Joint Channel Estimation and Data Detection for IRS-Assisted OFDM Systems
Sparse Channel Estimation for Intelligent Reflecting Surface Assisted Massive MIMO Systems
Sparse Channel Estimation With Surface Clustering for IRS-Assisted OFDM Systems
Bearing Fault Diagnosis With Frequency Sparsity Learning
Real-Valued Sparse Bayesian Learning for DOA Estimation With Arbitrary Linear Arrays
Group-Sparsity Learning Approach for Bearing Fault Diagnosis
Fast Variational Bayesian Inference for Temporally Correlated Sparse Signal Recovery
Robust DOA estimation for burst impulsive noise
Spectral variable selection based on least absolute shrinkage and selection operator with ridge-adding homotopy
Robust sparse Bayesian learning for DOA estimation in impulsive noise environments
Sparse Bayesian learning approach for baseline correction
Uplink Channel Estimation for Massive MIMO Systems With Impulsive Noise
Non-Uniform Burst-Sparsity Learning for Massive MIMO Channel Estimation
Robust Bayesian learning approach for massive MIMO channel estimation
Sparse Bayesian Approach for DOD and DOA Estimation With Bistatic MIMO Radar
FDD Massive MIMO Channel Estimation With Arbitrary 2D-Array Geometry
Sparse Bayesian learning for off-grid DOA estimation with nested arrays
Joint Channel Estimation and User Grouping for Massive MIMO Systems
Sparse Bayesian Learning Approach for Outlier-Resistant Direction-of-Arrival Estimation
Underdetermined DOA Estimation Method for Wideband Signals Using Joint Nonnegative Sparse Bayesian Learning
Root Sparse Bayesian Learning for Off-Grid DOA Estimation
Li-Fi: Light fidelity-a survey
A Recursive RARE Algorithm for DOA Estimation With Unknown Mutual Coupling
Direction-of-Arrival Estimation Via Real-Valued Sparse Representation