What is he best known for?
The fields of study he is best known for:
- Statistics
- Algorithm
- Artificial intelligence
His primary areas of investigation include Algorithm, Mathematical optimization, Robustness, Covariance matrix and Estimator.
His Algorithm study incorporates themes from Subspace topology, Eigendecomposition of a matrix, Detector and Signal subspace, Noise.
In general Mathematical optimization, his work in Semidefinite programming is often linked to Convex optimization linking many areas of study.
His Robustness research includes elements of Quadratic programming, Quadratically constrained quadratic program, Beamforming, Adaptive beamformer and Compressed sensing.
His research investigates the connection between Covariance matrix and topics such as White noise that intersect with problems in Wiener filter, Background noise, Source separation, Noise power and Minimum mean square error.
His Estimator research incorporates themes from Direction of arrival, Covariance, Sparse approximation, Pattern recognition and Computation.
His most cited work include:
- Joint Range and Angle Estimation Using MIMO Radar With Frequency Diverse Array (160 citations)
- $ll _{p}$ -MUSIC: Robust Direction-of-Arrival Estimator for Impulsive Noise Environments (75 citations)
- Covariance sparsity-aware DOA estimation for nonuniform noise (72 citations)
What are the main themes of his work throughout his whole career to date?
Lei Huang spends much of his time researching Algorithm, Mathematical optimization, Radar, Subspace topology and Covariance matrix.
He has included themes like Direction of arrival, Matrix, Estimator, Signal subspace and Robustness in his Algorithm study.
His work carried out in the field of Robustness brings together such families of science as Speech recognition, Beamforming and Minimum-variance unbiased estimator.
His work in the fields of Mathematical optimization, such as Quadratic programming, intersects with other areas such as Convex optimization.
His Radar study integrates concerns from other disciplines, such as MIMO, Electronic engineering and Communications system.
His research integrates issues of Eigendecomposition of a matrix, Wiener filter, Covariance and Signal, Noise in his study of Covariance matrix.
He most often published in these fields:
- Algorithm (50.00%)
- Mathematical optimization (21.95%)
- Radar (13.01%)
What were the highlights of his more recent work (between 2019-2021)?
- Algorithm (50.00%)
- MIMO (7.72%)
- Radar (13.01%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Algorithm, MIMO, Radar, Communications system and Electronic engineering.
His Algorithm research is mostly focused on the topic Underdetermined system.
His MIMO research is multidisciplinary, relying on both Computer architecture and Beamforming.
His biological study spans a wide range of topics, including Selection, Energy, Optimization problem, Mathematical optimization and Transmitter.
His work in Radar covers topics such as Precoding which are related to areas like Altitude, Clutter, High fidelity and Power budget.
His Electronic engineering research incorporates elements of Wireless, Transmitter power output, Mimo radar, Waveform and Antenna.
Between 2019 and 2021, his most popular works were:
- Taxonomy and Performance Evaluation of Hybrid Beamforming for 5G and Beyond Systems (8 citations)
- Deep neural networks compression learning based on multiobjective evolutionary algorithms (8 citations)
- A Novel Machine Learning Aided Antenna Selection Scheme for MIMO Internet of Things. (3 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Algorithm
- Artificial intelligence
His primary areas of investigation include MIMO, Mathematical optimization, Beamforming, Computer architecture and Radar.
His biological study deals with issues like Antenna, which deal with fields such as Computer engineering, Contrast and Optimization problem.
The concepts of his Mathematical optimization study are interwoven with issues in Artificial neural network and Word error rate.
In his study, Deep learning, Channel capacity, Telecommunications link, Base station and Artificial intelligence is strongly linked to Software-defined radio, which falls under the umbrella field of Computer architecture.
His research in Radar focuses on subjects like Mimo radar, which are connected to Algorithm.
Matching pursuit is the focus of his Algorithm research.
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