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Record W2020647442 · doi:10.1364/oe.16.001068

Optical multicarrier generator for radio-over-fiber systems

2008· article· en· W2020647442 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

VenueOptics Express · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversité Laval
FundersCanada Research Chairs
KeywordsOpticsFiber Bragg gratingMaterials sciencePhase noiseComb generatorLaserModulation (music)PhysicsFrequency combAcoustics

Abstract

fetched live from OpenAlex

We propose an optical multicarrier generation method for radio-over-fiber (ROF) systems. The multicarrier generator is composed of a phase-modulated laser and two chirped fiber Bragg gratings used as flattening filters. The chirped gratings are spectrally tailored to equalize the intrinsically uneven envelope of the phase-modulated laser spectrum. A flattened multicarrier spectrum with 7 carriers at a frequency spacing of 12.5 GHz is demonstrated with less than 2 dB peak-to-peak variations and 40 dB optical signal-to-noise ratio (OSNR). We evaluate the quality of the multicarrier generator by using it as an externally modulated source for 802.11 compliant signals. We performed error vector magnitude (EVM) measurements on each of the filtered carrier and found an average value of 32.8 dB compared to 36.2 dB for a tunable laser source. The results show that the multicarrier source could be used for error free transmission.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.444
Threshold uncertainty score0.835

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 head0.025
GPT teacher head0.254
Teacher spread0.229 · 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