Syndrome Decoding
Syndrome Decoding is a method in error-correcting codes that identifies and corrects errors in a received codeword by computing its syndrome—a unique vector derived from the parity-check matrix—and mapping it to the most probable error pattern under the assumption of minimum distance decoding.
174
Publications
6.9K
Citations
353
Authors
207
Institutions
Publications per year
2017–2026
37
Parents
174
1–5 of 174
353
11
h-index
8
h-index
5
h-index
4
h-index
4
h-index
1–5 of 353
207
I-Shou University
Kaohsiung City, Taiwan
9 h-index
24 publications
589 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
9 h-index
18 publications
558 citations

Université de Limoges
Limoges, France
6 h-index
12 publications
656 citations
Texas A&M University
College Station, United States
4 h-index
14 publications
2.5K citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
7 publications
281 citations

McGill University
Montreal, Canada
4 h-index
6 publications
176 citations
Universität Ulm
Ulm, Germany
4 h-index
8 publications
225 citations
Institute for Information Transmission Problems
Moscow, Russia
3 h-index
6 publications
185 citations
1–8 of 207
40 publications · 1.9K citations
24
h-index
13 publications · 500 citations
11
h-index
8 publications · 926 citations
8
h-index
6 publications · 308 citations
6
h-index
5 publications · 145 citations
5
h-index
1–5