His scientific interests lie mostly in Algorithm, Decoding methods, Low-density parity-check code, Sequential decoding and List decoding. His study looks at the intersection of Algorithm and topics like Theoretical computer science with Additive white Gaussian noise. The Decoding methods study combines topics in areas such as Computational complexity theory and Iterative method.
His research integrates issues of Binary code, Binary number, Belief propagation, Parity bit and Error detection and correction in his study of Low-density parity-check code. He focuses mostly in the field of Sequential decoding, narrowing it down to topics relating to Viterbi decoder and, in certain cases, Convolutional code. His study in List decoding is interdisciplinary in nature, drawing from both Berlekamp–Welch algorithm and Error floor.
Algorithm, Decoding methods, Low-density parity-check code, Block code and Linear code are his primary areas of study. His research investigates the connection between Algorithm and topics such as Theoretical computer science that intersect with problems in Coding gain. The Decoding methods study combines topics in areas such as Computational complexity theory, Additive white Gaussian noise, Code, Binary code and Upper and lower bounds.
His Low-density parity-check code research includes themes of Discrete mathematics, Binary erasure channel, Belief propagation and Binary number. In his study, Phase-shift keying is inextricably linked to Communication channel, which falls within the broad field of Block code. His biological study spans a wide range of topics, including List decoding and Parity bit.
His primary areas of study are Low-density parity-check code, Discrete mathematics, Algorithm, Decoding methods and Block code. The various areas that Marc P. C. Fossorier examines in his Low-density parity-check code study include Binary erasure channel, Turbo code and Binary number. The concepts of his Discrete mathematics study are interwoven with issues in Upper and lower bounds, Parity bit, Linear code and Combinatorics.
His Algorithm research incorporates elements of Additive white Gaussian noise and Theoretical computer science. His work carried out in the field of Decoding methods brings together such families of science as Binary code and Error detection and correction. His study looks at the relationship between Block code and topics such as Type, which overlap with Code word.
The scientist’s investigation covers issues in Low-density parity-check code, Discrete mathematics, Algorithm, Decoding methods and Error detection and correction. His Error floor study in the realm of Low-density parity-check code interacts with subjects such as Process. His Discrete mathematics study incorporates themes from Block code, Combinatorics and Parity bit.
His work on Linear code and Channel code as part of general Algorithm study is frequently linked to GRASP and Field, therefore connecting diverse disciplines of science. His Linear code research incorporates themes from Probabilistic logic, Turbo code and Concatenated error correction code. His study in the field of Hamming weight and List decoding is also linked to topics like Noise measurement.
Y. Kou;S. Lin;M.P.C. Fossorier
M.P.C. Fossorier;M. Mihaljevic;H. Imai
Jinghu Chen;A. Dholakia;E. Eleftheriou;M.P.C. Fossorier
Jinghu Chen;M.P.C. Fossorier
M.P.C. Fossorier;Shu Lin
D. Declercq;M. Fossorier
J. Chen;M.P.C. Fossorier
R.Y. Shao;Shu Lin;M.P.C. Fossorier
Juntan Zhang;M.P.C. Fossorier
Marc Fossorier;Tom Høholdt;Alain Poli
C. Poulliat;M. Fossorier;D. Declercq
Juntan Zhang;M.P.C. Fossorier
Adrian Voicila;David Declercq;Francois Verdier;Marc Fossorier
M.P.C. Fossorier;F. Burkert;Shu Lin;J. Hagenauer
M.P.C. Fossorier
R. Lucas;M.P.C. Fossorier;Yu Kou;Shu Lin
Xiao-Yu Hu;M.P.C. Fossorier;E. Eleftheriou
A. Valembois;M. Fossorier
R.Y. Shao;Shu Lin;M.P.C. Fossorier
Miodrag J. Mihaljevic;Marc P. C. Fossorier;Hideki Imai
Marc P. C. Fossorier
M. Hagiwara;M. Fossorier
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