2010 - Member of the National Academy of Sciences
2004 - IEEE Richard W. Hamming Medal “For fundamental contributions to the theory and practice of information transmission and storage.”
2001 - IEEE Claude E. Shannon Award
1998 - Fellow of the American Association for the Advancement of Science (AAAS)
1998 - IEEE Koji Kobayashi Computers and Communications Award "For fundamental contributions to multiuser communications and applications of coding theory to magnetic data storage devices."
1979 - Fellow of John Simon Guggenheim Memorial Foundation
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.
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.
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.
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.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Noiseless coding of correlated information sources
D. Slepian;J. Wolf.
IEEE Transactions on Information Theory (1973)
Efficient maximum likelihood decoding of linear block codes using a trellis
IEEE Transactions on Information Theory (1978)
Characterizing flash memory: anomalies, observations, and applications
Laura M. Grupp;Adrian M. Caulfield;Joel Coburn;Steven Swanson.
international symposium on microarchitecture (2009)
On linear unequal error protection codes
B. Masnick;J. Wolf.
IEEE Transactions on Information Theory (1967)
On Tail Biting Convolutional Codes
H. Ma;J. Wolf.
IEEE Transactions on Communications (1986)
Method and apparatus for transmitting and receiving concatenated code data
Wolf Jack K.
A pragmatic approach to trellis-coded modulation
A.J. Viterbi;J.K. Wolf;E. Zehavi;R. Padovani.
IEEE Communications Magazine (1989)
Finite-state modulation codes for data storage
B.H. Marcus;P.H. Siegel;J.K. Wolf.
IEEE Journal on Selected Areas in Communications (1992)
Born again group testing: Multiaccess communications
IEEE Transactions on Information Theory (1985)
Transmission of noisy information to a noisy receiver with minimum distortion
J. Wolf;J. Ziv.
IEEE Transactions on Information Theory (1970)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: