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Record W2155233959 · doi:10.1109/glocom.2009.5425983

Near-Complementary Sequences of Various Lengths and Low PMEPR for Multicarrier Communications

2009· article· en· W2155233959 on OpenAlex
Nam Yul Yu, Guang Gong

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPAPR reduction in OFDM
Canadian institutionsUniversity of WaterlooLakehead University
Fundersnot available
KeywordsComplementary sequencesBinary Golay codeSequence (biology)Envelope (radar)MathematicsBoolean functionPower (physics)Power of twoEncoding (memory)AlgorithmTopology (electrical circuits)Computer scienceDiscrete mathematicsCombinatoricsTelecommunicationsBiologyArtificial intelligenceGeneticsPhysics

Abstract

fetched live from OpenAlex

New families of near-complementary sequences are presented for peak power control in multicarrier communications. A framework for near-complementary sequences is given by the explicit Boolean expression and the equivalent array structure. The framework transforms the seed pairs to the near-complementary sequences by the aid of Golay complementary sequences. As the examples, new families of near-complementary sequences with the peak-to-mean envelope power ratio (PMEPR) < 4 are presented, where the sequences provide various lengths by employing the seeds of shortened or extended Golay complementary pairs. The sequence families can find the potential applications for peak power control requiring codewords or sequences of various lengths as well as low PMEPR.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score0.246

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.286
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations1
Published2009
Admission routes1
Has abstractyes

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