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Record W2084368700 · doi:10.1109/pacrim.2007.4313236

ß-complementary Sequences and Peak-to-Mean Envelope Power Ratio Reduction in OFDM

2007· article· en· W2084368700 on OpenAlex
Wen Chen, Chintha Tellambura

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 Alberta
Fundersnot available
KeywordsBinary Golay codeComplementary sequencesOrthogonal frequency-division multiplexingSequence (biology)Encoding (memory)Code (set theory)Reduction (mathematics)ENCODEEnvelope (radar)AlgorithmPower (physics)MathematicsComputer scienceTheoretical computer scienceDiscrete mathematicsArtificial intelligenceTelecommunicationsBiologyPhysicsGeneProgramming languageChannel (broadcasting)Genetics

Abstract

fetched live from OpenAlex

In this paper we introduce a novel sequence "beta-complementary sequence" to encode the OFDM signals, by which one can substantially increase the code rate while enjoy a tight PMEPR of at most 2. On the other hand, such encoding by beta-complementary sequences has very good trade-off performance between PMEPR and code rate. This observation follows from the properties of beta-complementary sequences investigated by us, the numerical results based on these properties and the comparison with the well discussed Golay complementary sequences and the generalized Golay complementary sequences (called "G <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <sub>N</sub> </i> -complementary sequences' in this paper).

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.562

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)0.0010.000

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 head0.014
GPT teacher head0.256
Teacher spread0.242 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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