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Record W1969056513 · doi:10.1109/mwp.2013.6724023

Phase-coded microwave waveform generation based on a tunable optoelectronic oscillator

2013· article· en· W1969056513 on OpenAlexaff
Wangzhe Li, Fanqi Kong, Jianping Yao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSidebandMicrowaveOptical Carrier transmission ratesWaveformOptoelectronicsPhysicsPhotonicsSIGNAL (programming language)Local oscillatorOpticsOptical filterMaterials sciencePhase noiseComputer scienceRadio over fiberOptical fiberVoltage

Abstract

fetched live from OpenAlex

Photonic generation of an arbitrary phase-coded microwave waveform with a tunable microwave carrier frequency using a frequency-tunable optoelectronic oscillator (OEO) is proposed and experimentally demonstrated. The tunable OEO has two functions: to generate a frequency-tunable microwave signal and to output one optical sideband. The optical sideband is injected into a polarization modulator (PolM) jointly with part of the light wave from the OEO laser source, with their polarization directions alighted, respectively, with the principal axes of the PolM. An electrical phase coding signal is applied to the PolM, to generate two complementarily phase-coded light waves which are converted to an electrical signal by the two signals at a highspeed photodetector (PD). The key significance of the technique is that a phase-coded signal with a tunable microwave carrier frequency and a reconfigurable coding pattern can be generated without using a separate microwave source. The technique is experimentally verified. The generation of a binary and quadratic phase-coded microwave waveform with a microwave carrier frequency at 10 and 15 GHz is demonstrated.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.715
Threshold uncertainty score0.820

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)0.0010.001

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 head0.016
GPT teacher head0.240
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2013
Admission routes1
Has abstractyes

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