What is he best known for?
The fields of study he is best known for:
- Telecommunications
- Statistics
- Algorithm
His primary scientific interests are in Electronic engineering, Algorithm, Frequency-division multiplexing, Modulation and Orthogonal frequency-division multiplexing.
His Electronic engineering research incorporates themes from Block code, Reduction, Delta modulation, Forward error correction and BCJR algorithm.
His Algorithm study incorporates themes from Information theory, Binary code, Additive white Gaussian noise and Coding.
His research investigates the link between Modulation and topics such as Transmitter power output that cross with problems in Twisted pair and Transmission.
His study explores the link between Orthogonal frequency-division multiplexing and topics such as Signal that cross with problems in Representation and Power ratio.
As part of one scientific family, Johannes B. Huber deals mainly with the area of Decoding methods, narrowing it down to issues related to the Approximation theory, and often Zero-forcing precoding and Precoding.
His most cited work include:
- Reducing the peak-to-average power ratio of multicarrier modulation by selected mapping (1530 citations)
- OFDM with reduced peak-to-average power ratio by optimum combination of partial transmit sequences (1205 citations)
- Multilevel codes: theoretical concepts and practical design rules (854 citations)
What are the main themes of his work throughout his whole career to date?
Johannes B. Huber spends much of his time researching Algorithm, Decoding methods, Electronic engineering, Communication channel and Theoretical computer science.
His studies in Algorithm integrate themes in fields like Additive white Gaussian noise, Bit error rate and Modulation.
Johannes B. Huber has included themes like Intersymbol interference, Coding, Redundancy and Code in his Decoding methods study.
His Electronic engineering research also works with subjects such as
- Reduction most often made with reference to Signal,
- Orthogonal frequency-division multiplexing, which have a strong connection to Multipath propagation and Minimum mean square error.
His research integrates issues of Transmission, Quadrature amplitude modulation, Binary number and Topology in his study of Communication channel.
His Theoretical computer science research is multidisciplinary, relying on both Information theory and Linear network coding.
He most often published in these fields:
- Algorithm (50.77%)
- Decoding methods (27.18%)
- Electronic engineering (26.67%)
What were the highlights of his more recent work (between 2013-2020)?
- Algorithm (50.77%)
- Decoding methods (27.18%)
- Convolutional code (13.33%)
In recent papers he was focusing on the following fields of study:
Johannes B. Huber mainly investigates Algorithm, Decoding methods, Convolutional code, Theoretical computer science and Constellation diagram.
His Algorithm study combines topics in areas such as Transmitter, Discrete mathematics and Modulation.
In his research, Johannes B. Huber undertakes multidisciplinary study on Modulation and Redundancy.
His work deals with themes such as Transmission, Bit error rate and Intersymbol interference, which intersect with Decoding methods.
In his study, which falls under the umbrella issue of Transmission, Orthogonal frequency-division multiplexing is strongly linked to Long code.
His Theoretical computer science study integrates concerns from other disciplines, such as Linear network coding and Precoding.
Between 2013 and 2020, his most popular works were:
- Comparison of Convolutional and Block Codes for Low Structural Delay (34 citations)
- Design and analysis of UW-OFDM signals. (33 citations)
- A diagnostic method for power line networks by channel estimation of PLC devices (12 citations)
In his most recent research, the most cited papers focused on:
- Telecommunications
- Statistics
- Algorithm
Johannes B. Huber spends much of his time researching Algorithm, Electronic engineering, Concatenated error correction code, Hypersphere and Electrical efficiency.
His research investigates the connection with Algorithm and areas like Bit error rate which intersect with concerns in Subcarrier, Frequency-division multiplexing, Guard interval and Redundancy.
The study incorporates disciplines such as Frequency domain, Electrical engineering, Orthogonal frequency-division multiplexing and Transceiver in addition to Electronic engineering.
His work deals with themes such as Convolutional code, Code rate, Sequential decoding and Low-density parity-check code, which intersect with Concatenated error correction code.
His Hypersphere study also includes fields such as
- MIMO which is related to area like Signal,
- Continuously variable transmission and related Bandwidth.
His Electrical efficiency research incorporates themes from Constellation diagram, Topology, Information theory and Pulse shaping.
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