What is he best known for?
The fields of study he is best known for:
- Statistics
- Algorithm
- Telecommunications
Richard D. Wesel spends much of his time researching Low-density parity-check code, Algorithm, Theoretical computer science, Discrete mathematics and Communication channel.
His Low-density parity-check code study is concerned with the field of Decoding methods as a whole.
His Algorithm research is multidisciplinary, incorporating elements of Trellis modulation and Electronic engineering.
Richard D. Wesel has researched Theoretical computer science in several fields, including Node and Belief propagation decoding.
Richard D. Wesel works mostly in the field of Discrete mathematics, limiting it down to topics relating to Block code and, in certain cases, Trellis, as a part of the same area of interest.
His works in Fading and Equalization are all subjects of inquiry into Communication channel.
His most cited work include:
- Multi-input multi-output fading channel tracking and equalization using Kalman estimation (411 citations)
- Selective avoidance of cycles in irregular LDPC code construction (341 citations)
- Multiple-rate low-density parity-check codes with constant blocklength (225 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Algorithm, Communication channel, Decoding methods, Low-density parity-check code and Turbo code.
His work on Theoretical computer science expands to the thematically related Algorithm.
As part of the same scientific family, Richard D. Wesel usually focuses on Communication channel, concentrating on Electronic engineering and intersecting with Modulation, Spectral efficiency and Orthogonal frequency-division multiplexing.
His studies deal with areas such as Redundancy and Code as well as Decoding methods.
The various areas that he examines in his Low-density parity-check code study include Discrete mathematics, Belief propagation and Factor graph.
He interconnects Error detection and correction and Topology in the investigation of issues within Turbo code.
He most often published in these fields:
- Algorithm (54.17%)
- Communication channel (34.58%)
- Decoding methods (33.33%)
What were the highlights of his more recent work (between 2017-2021)?
- Algorithm (54.17%)
- Decoding methods (33.33%)
- Communication channel (34.58%)
In recent papers he was focusing on the following fields of study:
Algorithm, Decoding methods, Communication channel, Low-density parity-check code and Convolutional code are his primary areas of study.
Richard D. Wesel has included themes like Encoder, Transmission, Upper and lower bounds and Code in his Algorithm study.
Data link is closely connected to Erasure in his research, which is encompassed under the umbrella topic of Decoding methods.
His Communication channel research is multidisciplinary, incorporating perspectives in Transmitter, Redundancy and Throughput.
His biological study spans a wide range of topics, including Information bottleneck method, Belief propagation, Quantization and Parallel computing.
His Convolutional code study combines topics in areas such as Cyclic redundancy check, Viterbi algorithm and Viterbi decoder.
Between 2017 and 2021, his most popular works were:
- Serial List Viterbi Decoding with CRC: Managing Errors, Erasures, and Complexity (8 citations)
- Decoding Rate-Compatible 5G-LDPC Codes With Coarse Quantization Using the Information Bottleneck Method (6 citations)
- Capacities and Optimal Input Distributions for Particle-Intensity Channels (5 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Algorithm
- Telecommunications
His primary scientific interests are in Decoding methods, Algorithm, Low-density parity-check code, Communication channel and Transmission.
His work carried out in the field of Decoding methods brings together such families of science as Puncturing and Erasure.
Richard D. Wesel frequently studies issues relating to Upper and lower bounds and Algorithm.
His work in Low-density parity-check code addresses subjects such as Information bottleneck method, which are connected to disciplines such as Parallel computing, Computational complexity theory, Quantization and Ranging.
The study incorporates disciplines such as Wireless network, Throughput and Data link in addition to Communication channel.
Richard D. Wesel combines subjects such as Encoder, Binary symmetric channel and Encoding with his study of Transmission.
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