What is he best known for?
The fields of study he is best known for:
- Statistics
- Telecommunications
- Algorithm
Bernard Henri Fleury focuses on Communication channel, Algorithm, Electronic engineering, MIMO and Azimuth.
His studies in Communication channel integrate themes in fields like Scattering and Electrical engineering.
His Algorithm research is multidisciplinary, incorporating elements of Transmitter, Variational message passing, Mobile radio and Expectation–maximization algorithm.
His Electronic engineering study combines topics in areas such as Antenna height considerations, Exponential function, Dispersion and Spatial correlation.
His MIMO research is multidisciplinary, incorporating perspectives in Estimation theory, Multipath propagation, Orthogonal frequency-division multiplexing and Fading.
His Azimuth course of study focuses on Radio propagation and Channel models, Remote sensing and Base station.
His most cited work include:
- Channel parameter estimation in mobile radio environments using the SAGE algorithm (804 citations)
- A stochastic model of the temporal and azimuthal dispersion seen at the base station in outdoor propagation environments (577 citations)
- First- and second-order characterization of direction dispersion and space selectivity in the radio channel (216 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Algorithm, Communication channel, Electronic engineering, Telecommunications and MIMO.
The concepts of his Algorithm study are interwoven with issues in Estimator, Mathematical optimization and Orthogonal frequency-division multiplexing.
His Communication channel research includes themes of Code division multiple access, Monte Carlo method and Joint.
His Electronic engineering research incorporates themes from Azimuth, Delay spread, Fading, GNSS applications and Antenna.
His Azimuth research integrates issues from Probability density function and Spectral density.
His MIMO research includes themes of Transmitter, Multiplexing and Phase noise.
He most often published in these fields:
- Algorithm (44.88%)
- Communication channel (34.63%)
- Electronic engineering (20.98%)
What were the highlights of his more recent work (between 2013-2018)?
- Algorithm (44.88%)
- Communication channel (34.63%)
- Multipath propagation (12.68%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Algorithm, Communication channel, Multipath propagation, Bayesian inference and Applied mathematics.
His work carried out in the field of Algorithm brings together such families of science as Estimator, Mathematical optimization and Orthogonal frequency-division multiplexing.
His Communication channel research is multidisciplinary, incorporating perspectives in Probabilistic logic and Modulation.
His Multipath propagation study combines topics from a wide range of disciplines, such as Wireless, Class and Electronic engineering.
He combines subjects such as Spectral density estimation, Estimation theory, Sparse approximation and Statistical model with his study of Bayesian inference.
The various areas that Bernard Henri Fleury examines in his Applied mathematics study include Simulated annealing and Free probability, Combinatorics.
Between 2013 and 2018, his most popular works were:
- S-AMP: Approximate Message Passing for General Matrix Ensembles (54 citations)
- Sparse estimation using Bayesian hierarchical prior modeling for real and complex linear models (44 citations)
- Variational Bayesian Inference of Line Spectra (30 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Telecommunications
- Algorithm
His primary areas of study are Algorithm, Estimation theory, Spectral density estimation, Fixed point and Stochastic process.
His studies deal with areas such as Theoretical computer science, Message passing and Bayesian inference as well as Algorithm.
Bernard Henri Fleury interconnects Covariance matrix, Inversion, Computation and Point estimation in the investigation of issues within Estimation theory.
His Stochastic process research incorporates elements of Statistical physics and Multipath propagation.
He studied Statistical physics and Autocorrelation that intersect with Communication channel.
His research in Rate of convergence focuses on subjects like Statistical model, which are connected to Mathematical optimization.
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