What is he best known for?
The fields of study he is best known for:
- Statistics
- Algorithm
- Artificial intelligence
The scientist’s investigation covers issues in Algorithm, Time–frequency analysis, Communication channel, Orthogonal frequency-division multiplexing and Electronic engineering.
His Algorithm research incorporates elements of MIMO, Filter and Sensor fusion.
His studies deal with areas such as Mathematical analysis, Stochastic process, Spectral density, Multidimensional signal processing and Calculus as well as Time–frequency analysis.
His Multidimensional signal processing research is multidisciplinary, incorporating elements of Constant Q transform, Algebra, Harmonic wavelet transform, S transform and Topology.
His Communication channel research includes elements of Multiplexing and Estimator.
His work carried out in the field of Orthogonal frequency-division multiplexing brings together such families of science as Wireless, Spectral efficiency, Intersymbol interference and Compressed sensing.
His most cited work include:
- Linear and quadratic time-frequency signal representations (1375 citations)
- Frame-theoretic analysis of oversampled filter banks (291 citations)
- A compressed sensing technique for OFDM channel estimation in mobile environments: Exploiting channel sparsity for reducing pilots (221 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Algorithm, Communication channel, Time–frequency analysis, Estimator and Signal processing.
His Algorithm research is multidisciplinary, relying on both Tracking, Signal, Filter and Control theory.
The various areas that Franz Hlawatsch examines in his Communication channel study include Electronic engineering and Topology.
His Time–frequency analysis research includes themes of Stochastic process, Speech recognition and Linear system, Mathematical analysis.
The study incorporates disciplines such as Ambiguity function and Pure mathematics, Affine transformation in addition to Mathematical analysis.
His Estimator study combines topics in areas such as Estimation theory, Applied mathematics and Compressed sensing.
He most often published in these fields:
- Algorithm (47.74%)
- Communication channel (16.72%)
- Time–frequency analysis (16.03%)
What were the highlights of his more recent work (between 2013-2021)?
- Algorithm (47.74%)
- Belief propagation (9.76%)
- Tracking (9.41%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Algorithm, Belief propagation, Tracking, Factor graph and Artificial intelligence.
His studies in Algorithm integrate themes in fields like Probability density function, Filter, Wireless sensor network, Clutter and Sensor fusion.
His Belief propagation research is multidisciplinary, incorporating perspectives in Message passing, Distributed computing, Probabilistic logic, Multipath propagation and Robustness.
He has researched Factor graph in several fields, including Computational complexity theory, Theoretical computer science and Radar tracker.
As part of the same scientific family, he usually focuses on Computer hardware, concentrating on Real-time computing and intersecting with Time–frequency analysis.
His Time–frequency analysis study integrates concerns from other disciplines, such as MIMO and Electronic engineering.
Between 2013 and 2021, his most popular works were:
- Message Passing Algorithms for Scalable Multitarget Tracking (109 citations)
- A Scalable Algorithm for Tracking an Unknown Number of Targets Using Multiple Sensors (86 citations)
- Distributed Localization and Tracking of Mobile Networks Including Noncooperative Objects (83 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Algorithm
- Artificial intelligence
Algorithm, Belief propagation, Factor graph, Particle filter and Scalability are his primary areas of study.
Franz Hlawatsch studies Algorithm, focusing on Computational complexity theory in particular.
His biological study spans a wide range of topics, including Distributed computing, Nonlinear system, Multipath propagation, Monte Carlo method and Robustness.
Franz Hlawatsch interconnects Message passing, Filter and Radar tracker in the investigation of issues within Factor graph.
Franz Hlawatsch combines subjects such as Sequential estimation, Mathematical optimization and Ensemble Kalman filter with his study of Particle filter.
His Sensor fusion study incorporates themes from Control theory, State, Estimator, Asynchronous communication and Flexibility.
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