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Dennis Brauchle

dblp:123/4662 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory
error-correcting codes
0.212013
Efficient Majority-Logic Decoding of Short-Length Reed-Muller Codes at Information Positions · IEEE Trans. Commun. 2013
Coding theory › error-correcting codes › decoding
majority-logic decoding
0.212013
Efficient Majority-Logic Decoding of Short-Length Reed-Muller Codes at Information Positions · IEEE Trans. Commun. 2013
Coding theory › error-correcting codes
reed-muller codes
0.212013
Efficient Majority-Logic Decoding of Short-Length Reed-Muller Codes at Information Positions · IEEE Trans. Commun. 2013
Coding theory › error-correcting codes › decoding › decoding problems
decoding complexity
0.012013
Efficient Majority-Logic Decoding of Short-Length Reed-Muller Codes at Information Positions · IEEE Trans. Commun. 2013

Methods — techniques the papers use, named apart from their topics

systematic encoding · 0.2majority-logic decoding · 0.2
YearPublicationVenuePosition
2013 Efficient Majority-Logic Decoding of Short-Length Reed-Muller Codes at Information Positions
abstract
Short-length Reed-Muller codes under majority-logic decoding are of particular importance for efficient hardware implementations in real-time and embedded systems. This paper significantly improves Chen's two-step majority-logic decoding method for binary Reed-Muller codes RM(r,m), r ≤ m/2, if - systematic encoding assumed - only errors at information positions are to be corrected. Some general results on the minimal number of majority gates are presented that are particularly good for short codes. Specifically, with its importance in applications as a 3-error-correcting, self-dual code, the smallest non-trivial example, RM(2,5) of dimension 16 and length 32, is investigated in detail. Further, the decoding complexity of our procedure is compared with that of Chen's decoding algorithm for various Reed-Muller codes up to length 210.
Peter Hauck, Michael Huber 0002, Juliane Bertram, Dennis Brauchle, Sebastian Ziesche
IEEE Trans. Commun.4