What is he best known for?
The fields of study he is best known for:
- Statistics
- Algorithm
- Artificial intelligence
His main research concerns Algorithm, Upper and lower bounds, Estimator, Mathematical optimization and Estimation theory.
Hing Cheung So is interested in Cramér–Rao bound, which is a branch of Algorithm.
His Upper and lower bounds research integrates issues from MIMO, Statistics, Best linear unbiased prediction and Bistatic radar.
His biological study spans a wide range of topics, including Differential, Mobile station, Linear prediction, Artificial intelligence and Pattern recognition.
His Optimization problem study, which is part of a larger body of work in Mathematical optimization, is frequently linked to Convex optimization, bridging the gap between disciplines.
He usually deals with Estimation theory and limits it to topics linked to Subspace topology and Calculus, Planar array, Computational complexity theory, Eigendecomposition of a matrix and Antenna array.
His most cited work include:
- Least squares algorithms for time-of-arrival-based mobile location (409 citations)
- Time-of-arrival based localization under NLOS conditions (378 citations)
- A constrained least squares approach to mobile positioning: algorithms and optimality (210 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Algorithm, Mathematical optimization, Estimator, Estimation theory and Upper and lower bounds.
His study in Algorithm focuses on Linear prediction in particular.
His research investigates the link between Mathematical optimization and topics such as Robustness that cross with problems in Beamforming.
His study looks at the relationship between Estimator and topics such as Control theory, which overlap with Multipath propagation.
His studies in Upper and lower bounds integrate themes in fields like Wireless sensor network and Nonlinear system.
His research in Radar intersects with topics in MIMO and Mimo radar.
He most often published in these fields:
- Algorithm (58.53%)
- Mathematical optimization (26.13%)
- Estimator (24.19%)
What were the highlights of his more recent work (between 2018-2021)?
- Algorithm (58.53%)
- Optimization problem (7.99%)
- Radar (8.64%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Algorithm, Optimization problem, Radar, Artificial neural network and Matrix.
His research integrates issues of Estimator, Signal, Outlier and Robustness in his study of Algorithm.
His Estimator research integrates issues from Computational complexity theory, Upper and lower bounds and Linear least squares.
Mathematical optimization covers Hing Cheung So research in Optimization problem.
In the subject of general Mathematical optimization, his work in Linear programming is often linked to Convex optimization, thereby combining diverse domains of study.
His Radar research includes themes of MIMO, Mimo radar, Waveform and Sonar.
Between 2018 and 2021, his most popular works were:
- A survey on 5G massive MIMO Localization (35 citations)
- Direction-of-Arrival Estimation of Coherent Signals via Coprime Array Interpolation (29 citations)
- DOA Estimation in Impulsive Noise via Low-Rank Matrix Approximation and Weakly Convex Optimization (16 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Algorithm
- Artificial intelligence
Hing Cheung So mainly investigates Algorithm, Optimization problem, Outlier, Radar and Matrix.
His is involved in several facets of Algorithm study, as is seen by his studies on Covariance matrix and Estimation theory.
His Covariance matrix research incorporates themes from Estimator and Adaptive beamformer.
His Optimization problem research is under the purview of Mathematical optimization.
Hing Cheung So works mostly in the field of Mathematical optimization, limiting it down to concerns involving Dynamic range and, occasionally, Minification.
His work is dedicated to discovering how Radar, Mimo radar are connected with Robustness, Control theory, Quantization, Beamforming and Spatial frequency and other disciplines.
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