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Record W2071840453 · doi:10.1109/isit.2012.6283006

Large zero odd periodic autocorrelation zone of Golay sequences and QAM Golay sequences

2012· article· en· W2071840453 on OpenAlexafffund
Yang Yang, Fei Huo, Guang Gong

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPAPR reduction in OFDM
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBinary Golay codeAutocorrelationComplementary sequencesTernary Golay codeInteger (computer science)Multipath interferenceQAMMathematicsZero (linguistics)Sequence (biology)AlgorithmKloosterman sumMultipath propagationDiscrete mathematicsCombinatoricsComputer scienceStatisticsDecoding methodsQuadrature amplitude modulationBiology

Abstract

fetched live from OpenAlex

Sequences with good correlation properties have been widely adopted in modern communications, radar and sonar applications. In this paper, we present that a single H-ary Golay sequence or 4q-QAM Golay sequence has a large zone of zero odd periodic autocorrelation, where H ≡ 0 (mod 4) is a positive integer and q ≥ 2 is an arbitrary integer. The conditions on the permutations employed in the boolean functions are the same as those for the sequences with a large zone of zero (even) periodic autocorrelation. More importantly, sequences with large odd periodic autocorrelations centered around the origin could be used to reduce the multipath interference at the receiver end and thus improve the performance of the communication system.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.238
Teacher spread0.225 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2012
Admission routes2
Has abstractyes

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