What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Statistics
- Artificial intelligence
His scientific interests lie mostly in Inertial navigation system, Signal processing, Inertial measurement unit, Electronic engineering and Sensor fusion.
His Inertial navigation system study combines topics in areas such as Detector, Dead reckoning, Global Positioning System, Simulation and Trajectory.
The various areas that Peter Händel examines in his Signal processing study include Algorithm, Quantization, Control theory, Control engineering and Applied mathematics.
His research integrates issues of Sine wave, Acceleration, Estimator and Accelerometer in his study of Algorithm.
His research in Electronic engineering focuses on subjects like Amplifier, which are connected to Transmitter.
His Sensor fusion research includes elements of Analysis of covariance, Energy consumption, Wireless ad hoc network, Hybrid positioning system and Real-time computing.
His most cited work include:
- In-Car Positioning and Navigation Technologies—A Survey (397 citations)
- Zero-Velocity Detection—An Algorithm Evaluation (352 citations)
- Spectral subtraction noise suppression method (216 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Signal processing, Electronic engineering, Algorithm, Control theory and Estimator.
In his work, Inertial navigation system is strongly intertwined with Real-time computing, which is a subfield of Signal processing.
His work is dedicated to discovering how Electronic engineering, Amplifier are connected with Orthogonal frequency-division multiplexing and other disciplines.
His Algorithm research incorporates elements of Sine wave and Speech recognition.
His work deals with themes such as Band-stop filter and Noise, which intersect with Control theory.
His Estimator study integrates concerns from other disciplines, such as Estimation theory and Applied mathematics.
He most often published in these fields:
- Signal processing (25.65%)
- Electronic engineering (25.09%)
- Algorithm (17.90%)
What were the highlights of his more recent work (between 2013-2020)?
- Signal processing (25.65%)
- Algorithm (17.90%)
- Electronic engineering (25.09%)
In recent papers he was focusing on the following fields of study:
Signal processing, Algorithm, Electronic engineering, Amplifier and Estimator are his primary areas of study.
His Signal processing study deals with Real-time computing intersecting with GNSS applications, Telematics and Asynchronous communication.
His research investigates the link between Algorithm and topics such as Training set that cross with problems in Graph.
His studies deal with areas such as Transmitter, Signal, MIMO and Predistortion as well as Electronic engineering.
The study incorporates disciplines such as Power, Control theory and Orthogonal frequency-division multiplexing in addition to Amplifier.
His biological study spans a wide range of topics, including Inertial navigation system and Inertial measurement unit.
Between 2013 and 2020, his most popular works were:
- Smartphone-Based Vehicle Telematics: A Ten-Year Anniversary (94 citations)
- Insurance Telematics: Opportunities and Challenges with the Smartphone Solution (92 citations)
- Foot-mounted inertial navigation made easy (86 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Statistics
- Artificial intelligence
His scientific interests lie mostly in Signal processing, Inertial measurement unit, Algorithm, Inertial navigation system and Real-time computing.
Peter Händel combines subjects such as MIMO, Electronic engineering, Systems architecture and Nonlinear system with his study of Signal processing.
Peter Händel has researched Inertial measurement unit in several fields, including Inertial reference unit, Observability and Inertial frame of reference.
His studies in Algorithm integrate themes in fields like Speech recognition, Graph and Sensor array.
Peter Händel interconnects Fault, Dead reckoning, Air navigation and Condition monitoring in the investigation of issues within Inertial navigation system.
His Real-time computing research is multidisciplinary, incorporating perspectives in Data-driven, Wireless sensor network, Wireless network, GNSS applications and Node.
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