What is he best known for?
The fields of study he is best known for:
- Statistics
- Telecommunications
- Algorithm
Josef A. Nossek spends much of his time researching Electronic engineering, Algorithm, MIMO, Control theory and Cellular neural network.
The Electronic engineering study combines topics in areas such as Spectral efficiency, Communication channel, Filter bank and Electrical engineering.
His Algorithm research integrates issues from Azimuth, Theoretical computer science and Mathematical optimization.
His work deals with themes such as Transmitter, Fading distribution, Quantization and Channel capacity, which intersect with MIMO.
His research integrates issues of Information theory, Channel state information and Fading in his study of Channel capacity.
His Cellular neural network research incorporates themes from Convergence, Very-large-scale integration, Operational amplifier and Circuit design.
His most cited work include:
- Linear transmit processing in MIMO communications systems (609 citations)
- Unitary ESPRIT: how to obtain increased estimation accuracy with a reduced computational burden (510 citations)
- Bifurcation and chaos in cellular neural networks (258 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Electronic engineering, Algorithm, MIMO, Communication channel and Telecommunications link.
He focuses mostly in the field of Electronic engineering, narrowing it down to matters related to Filter bank and, in some cases, Spectral efficiency.
His work carried out in the field of Algorithm brings together such families of science as Upper and lower bounds, Control theory and Signal processing.
The concepts of his MIMO study are interwoven with issues in Mathematical optimization, Channel capacity and Topology.
Josef A. Nossek has researched Communication channel in several fields, including Wireless and Beamforming.
His work in Telecommunications link tackles topics such as Base station which are related to areas like Antenna.
He most often published in these fields:
- Electronic engineering (39.83%)
- Algorithm (27.24%)
- MIMO (19.14%)
What were the highlights of his more recent work (between 2015-2021)?
- Algorithm (27.24%)
- Electronic engineering (39.83%)
- MIMO (19.14%)
In recent papers he was focusing on the following fields of study:
Algorithm, Electronic engineering, MIMO, Telecommunications link and Communication channel are his primary areas of study.
Josef A. Nossek is studying Estimation theory, which is a component of Algorithm.
His Electronic engineering research is multidisciplinary, incorporating elements of Wireless, Multi-user MIMO, Antenna array, Spectral efficiency and Interference.
He interconnects Equalization, Cyclic prefix, Orthogonal frequency-division multiplexing, Decoupling and Topology in the investigation of issues within MIMO.
His Telecommunications link research is multidisciplinary, incorporating perspectives in Transmitter, Quantization, Base station and Precoding.
His studies deal with areas such as Matrix, Covariance, Mathematical optimization and Expectation–maximization algorithm as well as Communication channel.
Between 2015 and 2021, his most popular works were:
- Minimum BER precoding in 1-Bit massive MIMO systems (65 citations)
- MMSE precoder for massive MIMO using 1-bit quantization (51 citations)
- A Comparison of Hybrid Beamforming and Digital Beamforming With Low-Resolution ADCs for Multiple Users and Imperfect CSI (48 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Telecommunications
- Algorithm
His main research concerns Electronic engineering, Telecommunications link, MIMO, Algorithm and Quantization.
The various areas that he examines in his Electronic engineering study include Antenna array, Computational complexity theory, 3G MIMO, Electrical impedance and Multipath propagation.
His biological study spans a wide range of topics, including Transmitter, Frequency-division multiplexing, Modulation and Precoding.
His MIMO research includes themes of Cyclic prefix, Orthogonal frequency-division multiplexing, Electrical engineering and Equalization.
His Algorithm study combines topics in areas such as Multilateration, Multi-user and Communications system.
His Quantization study incorporates themes from Wireless, Control theory, Communication channel, Signal processing and Cramér–Rao bound.
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