What is he best known for?
The fields of study he is best known for:
- Statistics
- Algorithm
- Telecommunications
Algorithm, Electronic engineering, Communication channel, Telecommunications and Orthogonal frequency-division multiplexing are his primary areas of study.
His research in Algorithm intersects with topics in Discrete mathematics, Multiplexing, Frequency domain and Signal reconstruction.
His specific area of interest is Electronic engineering, where Geert Leus studies Beamforming.
Geert Leus does research in Communication channel, focusing on Precoding specifically.
His studies examine the connections between Telecommunications and genetics, as well as such issues in Bandwidth, with regards to Hydrophone.
His work in Orthogonal frequency-division multiplexing tackles topics such as Control theory which are related to areas like Equalization, MIMO-OFDM, Mean squared error, Intersymbol interference and Bit error rate.
His most cited work include:
- Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems (1552 citations)
- Spectrum Sensing for Cognitive Radio : State-of-the-Art and Recent Advances (873 citations)
- Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems (717 citations)
What are the main themes of his work throughout his whole career to date?
Geert Leus focuses on Algorithm, Electronic engineering, Communication channel, Equalization and Mathematical optimization.
His Algorithm research focuses on Graph and how it relates to Graph and Discrete mathematics.
As a member of one scientific family, Geert Leus mostly works in the field of Electronic engineering, focusing on Cognitive radio and, on occasion, Efficient energy use.
His work carried out in the field of Communication channel brings together such families of science as Multiplexing and Control theory.
The concepts of his Equalization study are interwoven with issues in Wireless, Equalizer, Digital signal processing, Code division multiple access and Interference.
He combines subjects such as Wireless sensor network and Convex optimization with his study of Mathematical optimization.
He most often published in these fields:
- Algorithm (41.41%)
- Electronic engineering (25.52%)
- Communication channel (23.60%)
What were the highlights of his more recent work (between 2016-2021)?
- Algorithm (41.41%)
- Graph (6.10%)
- Graph (6.58%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Algorithm, Graph, Graph, Theoretical computer science and Signal processing.
His Algorithm study incorporates themes from Covariance, Frequency domain and Convex optimization.
His studies deal with areas such as Matrix decomposition, Convolutional neural network, Leverage and Pooling as well as Graph.
His Graph research integrates issues from Discrete mathematics, Random graph and Filter, Filter design.
His Signal processing research incorporates elements of Submodular set function and Detector.
Precoding is a primary field of his research addressed under Communication channel.
Between 2016 and 2021, his most popular works were:
- Stationary Graph Processes and Spectral Estimation (157 citations)
- Convolutional Neural Network Architectures for Signals Supported on Graphs (142 citations)
- Autoregressive Moving Average Graph Filtering (142 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Algorithm
- Artificial intelligence
His primary areas of investigation include Algorithm, Graph, Graph, Theoretical computer science and Network topology.
His Algorithm study combines topics in areas such as Discrete mathematics, Leverage, Graph signal processing, Signal processing and Autoregressive model.
His biological study spans a wide range of topics, including Matrix decomposition, Frequency response and Filter.
His Network topology study also includes fields such as
- Controllability that connect with fields like Randomness, Network model and Stochastic process,
- Topology and related Communication channel, State space, Sample, Covariance and Channel state information.
His Communication channel research includes themes of Transmitter and Decoding methods.
His research on Multiplexing concerns the broader Electronic engineering.
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