What is he best known for?
The fields of study he is best known for:
- Algorithm
- Statistics
- Telecommunications
Jack K. Wolf mainly focuses on Algorithm, Discrete mathematics, Block code, Linear code and Convolutional code.
His Algorithm research incorporates elements of Encoder, Theoretical computer science and Electronic engineering.
His Discrete mathematics research includes themes of Random variable, Combinatorics, Binary number, Space–time trellis code and Coding.
Jack K. Wolf has researched Combinatorics in several fields, including Probability of error, Side information, Square and Joint probability distribution.
His Linear code research includes elements of Trellis modulation, Hamming code, Trellis and Turbo code.
His Convolutional code research incorporates themes from Sequential decoding and Soft-decision decoder.
His most cited work include:
- Noiseless coding of correlated information sources (3793 citations)
- Efficient maximum likelihood decoding of linear block codes using a trellis (543 citations)
- Characterizing flash memory: anomalies, observations, and applications (395 citations)
What are the main themes of his work throughout his whole career to date?
Jack K. Wolf mostly deals with Algorithm, Decoding methods, Communication channel, Discrete mathematics and Block code.
His work in Algorithm addresses subjects such as Theoretical computer science, which are connected to disciplines such as Belief propagation.
Jack K. Wolf has included themes like Encoder, Real-time computing and Code in his Decoding methods study.
His work deals with themes such as Electronic engineering, Detector and Gaussian noise, which intersect with Communication channel.
Jack K. Wolf usually deals with Discrete mathematics and limits it to topics linked to Coding and Flash memory and Parallel computing.
Jack K. Wolf is studying Linear code, which is a component of Block code.
He most often published in these fields:
- Algorithm (48.28%)
- Decoding methods (26.55%)
- Communication channel (26.55%)
What were the highlights of his more recent work (between 2006-2016)?
- Algorithm (48.28%)
- Decoding methods (26.55%)
- Communication channel (26.55%)
In recent papers he was focusing on the following fields of study:
His main research concerns Algorithm, Decoding methods, Communication channel, Flash memory and Theoretical computer science.
His work investigates the relationship between Algorithm and topics such as Binary erasure channel that intersect with problems in Erasure.
The study incorporates disciplines such as Discrete mathematics, Path and Binary number in addition to Decoding methods.
His Discrete mathematics study integrates concerns from other disciplines, such as Rewriting and Logarithm.
His biological study spans a wide range of topics, including Coding, Flash and Parallel computing.
His Convolutional code course of study focuses on Serial concatenated convolutional codes and Turbo code and Error floor.
Between 2006 and 2016, his most popular works were:
- Characterizing flash memory: anomalies, observations, and applications (395 citations)
- Windowed Decoding of Protograph-Based LDPC Convolutional Codes Over Erasure Channels (191 citations)
- Error characterization and coding schemes for flash memories (85 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Statistics
- Telecommunications
His primary scientific interests are in Decoding methods, Flash memory, Algorithm, Parallel computing and Upper and lower bounds.
His Decoding methods research is multidisciplinary, incorporating elements of Discrete mathematics, Coding and Binary number.
His Discrete mathematics research includes elements of Binary case, Logarithm, Optical disc and Write once memory.
His work in Binary number covers topics such as Linear code which are related to areas like Blackwell channel and Arithmetic.
His Algorithm research is multidisciplinary, incorporating perspectives in Patterned media, Signal and Communication channel.
The study incorporates disciplines such as Binary erasure channel, List decoding, Convolutional code and Serial concatenated convolutional codes in addition to Sequential decoding.
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