What is he best known for?
The fields of study he is best known for:
- Algorithm
- Control theory
- Statistics
His main research concerns Control theory, Digital filter, Mathematical optimization, Finite impulse response and Infinite impulse response.
His Control theory study frequently links to adjacent areas such as Iterative method.
Wu-Sheng Lu has researched Digital filter in several fields, including Mathematical analysis, Network synthesis filters, Electronic engineering, Optimal design and Signal processing.
His work on Semidefinite programming as part of general Mathematical optimization research is frequently linked to Convex optimization, bridging the gap between disciplines.
His Finite impulse response study introduces a deeper knowledge of Algorithm.
The concepts of his Infinite impulse response study are interwoven with issues in Quadratic programming and Minimax.
His most cited work include:
- Practical Optimization: Algorithms and Engineering Applications (418 citations)
- Two-dimensional digital filters (378 citations)
- Impedance control with adaptation for robotic manipulations (171 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Digital filter, Algorithm, Mathematical optimization and Iterative method.
Wu-Sheng Lu combines subjects such as Filter bank and Filter, Filter design with his study of Control theory.
His studies in Digital filter integrate themes in fields like Transfer function, Minification, Scaling and Finite impulse response.
His Finite impulse response study combines topics from a wide range of disciplines, such as Frequency response and Algorithm design.
Many of his research projects under Mathematical optimization are closely connected to Convex optimization with Convex optimization, tying the diverse disciplines of science together.
His studies deal with areas such as Quadrature mirror filter and Quadratic function as well as Iterative method.
He most often published in these fields:
- Control theory (40.23%)
- Digital filter (37.61%)
- Algorithm (32.65%)
What were the highlights of his more recent work (between 2008-2020)?
- Digital filter (37.61%)
- Algorithm (32.65%)
- Minification (12.83%)
In recent papers he was focusing on the following fields of study:
Wu-Sheng Lu spends much of his time researching Digital filter, Algorithm, Minification, Mathematical optimization and Control theory.
His Digital filter research includes themes of Transfer function, Filter, Sensitivity, Realization and Finite impulse response.
His work carried out in the field of Algorithm brings together such families of science as Signal reconstruction, Computer vision and Artificial intelligence.
His biological study spans a wide range of topics, including Norm, Applied mathematics, Algebraic number and Scaling.
His Mathematical optimization research is multidisciplinary, incorporating elements of Noise measurement, Noise reduction and Symmetric matrix.
Wu-Sheng Lu combines subjects such as State space digital filters, Optimization problem, Reduction and Topology with his study of Control theory.
Between 2008 and 2020, his most popular works were:
- Near-Optimal Hybrid Processing for Massive MIMO Systems via Matrix Decomposition (92 citations)
- Joint Precoding Optimization for Multiuser Multi-Antenna Relaying Downlinks Using Quadratic Programming (81 citations)
- MIMO Relaying Broadcast Channels With Linear Precoding and Quantized Channel State Information Feedback (63 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Algebra
- Statistics
His scientific interests lie mostly in Algorithm, Mathematical optimization, Minification, Compressed sensing and Iterative method.
His work deals with themes such as Digital filter, Statistics and Signal reconstruction, which intersect with Algorithm.
His Digital filter research includes elements of Electronic engineering, Narrowband, Filter and Discrete Fourier transform.
The study incorporates disciplines such as Noise reduction, Total variation denoising and Composite image filter in addition to Mathematical optimization.
The various areas that Wu-Sheng Lu examines in his Iterative method study include Quadratic programming, Zero-forcing precoding, Optimization problem, Solver and Telecommunications link.
Wu-Sheng Lu focuses mostly in the field of Quadratic programming, narrowing it down to matters related to MIMO and, in some cases, Matrix decomposition and Control theory.
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