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M. A. O. da Costa e Silva

dblp:50/2329 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · none

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

Theory of computation · 1 · 1 first-author

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 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › error-correcting codes › decoding › minimum distance decoding
bounded-distance decoding
0.011994
A bounded-distance decoding algorithm for lattices obtained from a generalized code formula · IEEE Trans. Inf. Theory 1994
Coding theory
error-correcting codes
0.011994
A bounded-distance decoding algorithm for lattices obtained from a generalized code formula · IEEE Trans. Inf. Theory 1994
Coding theory
lattice codes
0.011994
A bounded-distance decoding algorithm for lattices obtained from a generalized code formula · IEEE Trans. Inf. Theory 1994
Coding theory › error-correcting codes › decoding › decoding algorithms › decoding of block codes
multistage decoding
0.011994
A bounded-distance decoding algorithm for lattices obtained from a generalized code formula · IEEE Trans. Inf. Theory 1994
Coding theory › error-correcting codes
reed-muller codes
0.011994
A bounded-distance decoding algorithm for lattices obtained from a generalized code formula · IEEE Trans. Inf. Theory 1994

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

maximum-likelihood decoding analysis · 0.0error coefficient analysis · 0.0
YearPublicationVenuePosition
1994 A bounded-distance decoding algorithm for lattices obtained from a generalized code formula
abstract
A multistage decoding algorithm is given for lattices obtained from a multilevel code formula. The algorithm is shown to have the same effective error-correcting radius as maximum-likelihood decoding, so that the performance loss is essentially determined by the increase in the effective error coefficient, for which an expression is given. The code formula generalizes some previous multilevel constructions to constructions of known single-level binary lattices with many levels, and then to decoders for them with the proposed algorithm. The trade-off between complexity reduction and performance loss is evaluated for several known lattices and two new ones, indicating that the approach is effective provided the binary codes involved in the code formula are not too short. All codes used in our constructions are binary Reed-Muller codes.>
M. A. O. da Costa e Silva, Reginaldo Palazzo Júnior
IEEE Trans. Inf. Theory1