What is he best known for?
The fields of study he is best known for:
- Statistics
- Algorithm
- Telecommunications
His primary areas of study are Algorithm, Mathematical optimization, Estimator, Robustness and Beamforming.
His Algorithm study combines topics in areas such as Statistics, Sensor array and Direction of arrival.
The concepts of his Mathematical optimization study are interwoven with issues in Matrix decomposition, Stochastic process and Convex optimization.
His research in Estimator intersects with topics in Calibration and Array processing.
His studies deal with areas such as Telecommunications link and Adaptive beamformer as well as Robustness.
His Adaptive beamformer research includes themes of Minimum-variance unbiased estimator, Second-order cone programming and Control theory.
His most cited work include:
- Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem (1135 citations)
- Training-based MIMO channel estimation: a study of estimator tradeoffs and optimal training signals (701 citations)
- Convex Optimization-Based Beamforming (449 citations)
What are the main themes of his work throughout his whole career to date?
Algorithm, Mathematical optimization, Robustness, Electronic engineering and Estimator are his primary areas of study.
The various areas that Alex B. Gershman examines in his Algorithm study include Direction of arrival and Communication channel.
His Mathematical optimization study integrates concerns from other disciplines, such as Computational complexity theory, Covariance, Polynomial and Convex optimization.
His research integrates issues of Multiuser detection, Second-order cone programming and Adaptive beamformer in his study of Robustness.
His Adaptive beamformer research also works with subjects such as
- Control theory and related Fading,
- Sensor array which is related to area like Signal processing and Array processing.
As a part of the same scientific family, Alex B. Gershman mostly works in the field of Block code, focusing on MIMO and, on occasion, Channel state information.
He most often published in these fields:
- Algorithm (47.08%)
- Mathematical optimization (25.32%)
- Robustness (22.73%)
What were the highlights of his more recent work (between 2008-2012)?
- Beamforming (18.83%)
- Relay (8.12%)
- Algorithm (47.08%)
In recent papers he was focusing on the following fields of study:
Alex B. Gershman mainly investigates Beamforming, Relay, Algorithm, Electronic engineering and Communication channel.
His Beamforming research integrates issues from Signal-to-noise ratio and Quality of service.
His Algorithm research is multidisciplinary, relying on both MIMO, Estimator and Direction of arrival.
His work is dedicated to discovering how Communication channel, Control theory are connected with Estimation theory and other disciplines.
The study incorporates disciplines such as Covariance and Mathematical optimization in addition to Covariance matrix.
His Mathematical optimization research is multidisciplinary, incorporating perspectives in Adaptive beamformer, Robustness and Convex optimization.
Between 2008 and 2012, his most popular works were:
- Convex Optimization-Based Beamforming (449 citations)
- Filter-and-Forward Distributed Beamforming in Relay Networks With Frequency Selective Fading (140 citations)
- Direction-of-Arrival Estimation for Nonuniform Sensor Arrays: From Manifold Separation to Fourier Domain MUSIC Methods (122 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Telecommunications
- Algorithm
His scientific interests lie mostly in Mathematical optimization, Beamforming, Algorithm, Communication channel and Robustness.
His study in Mathematical optimization is interdisciplinary in nature, drawing from both Cognitive radio and Convex optimization.
Alex B. Gershman has included themes like Relay and Computer network in his Beamforming study.
His Algorithm study combines topics from a wide range of disciplines, such as Sensor array, Direction of arrival and Semidefinite programming.
His Communication channel research is multidisciplinary, incorporating perspectives in Transmitter and Control theory.
His studies deal with areas such as Covariance matrix, Signal processing, Optimization problem, Telecommunications link and Adaptive beamformer as well as Robustness.
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