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Corneliu Bodea

dblp:35/9697 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2011
—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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › sequences › complementary sequences
golay sequences
0.112011
Shared Autocorrelation Property of Sequences · IEEE Trans. Inf. Theory 2011
Coding theory › sequences
sequence design
0.112011
Shared Autocorrelation Property of Sequences · IEEE Trans. Inf. Theory 2011
Coding theory › error-correcting codes › reed-muller codes
generalized reed-muller codes
0.012011
Shared Autocorrelation Property of Sequences · IEEE Trans. Inf. Theory 2011
Coding theory › error-correcting codes
reed-muller codes
0.012011
Shared Autocorrelation Property of Sequences · IEEE Trans. Inf. Theory 2011

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

combinatorial construction · 0.1
YearPublicationVenuePosition
2011 Shared Autocorrelation Property of Sequences
abstract
Due to the low peak-to-mean envelope power ratio (PMEPR) of Golay sequences together with their connection to generalized Reed-Muller codes, many authors have proposed using Golay sequences as codewords in orthogonal frequency-division multiplexing (OFDM). Golay sequences that unexpectedly share the same aperiodic autocorrelation function can be used to construct longer Golay sequences. We study the shared autocorrelation property of general sequences with the ultimate goal of using those results to find other low power sequences. In this paper, we provide several new constructions of families of pairs of sequences with the shared autocorrelation property that enable us to explain nearly all of the binary shared autocorrelation property for sequences of lengths up to 24.
Corneliu Bodea, Calina A. Copos, Matt Der, David O'Neal, James A. Davis
IEEE Trans. Inf. Theory1