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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 OpenAlex

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.
fundA Canadian funder is recorded on the work.

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 4 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">q</sup> -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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score0.518

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 communication0.0000.001
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 head0.013
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

Quick stats

Citations6
Published2012
Admission routes2
Has abstractyes

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