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Record W2097389011 · doi:10.1109/lmwc.2010.2091114

Instantaneous Microwave Frequency Measurement Using a Special Fiber Bragg Grating

2010· article· en· W2097389011 on OpenAlexaff
Ze Li, Chao Wang, Ming Li, Hao Chi, Xianmin Zhang, Jianping Yao

Bibliographic record

VenueIEEE Microwave and Wireless Components Letters · 2010
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsFiber Bragg gratingMicrowaveOpticsMaterials scienceFrequency responseOptical fiberRealization (probability)System of measurementPhotonicsOptoelectronicsPhysicsEngineeringElectrical engineeringMathematics

Abstract

fetched live from OpenAlex

A photonic approach to realizing instantaneous microwave frequency measurement based on frequency to optical power ratio mapping using a special fiber Bragg grating (FBG) is proposed and demonstrated. The special FBG is designed to have a spectral response with two slopes that are inversely proportional to optical frequency, which enables the realization of a linear power ratio function, leading to an increased measurement range and improved measurement accuracy. The FBG is fabricated and the incorporation of the FBG in a system for frequency measurement is experimented. Instantaneous microwave frequency measurement with a measurement range of 1-10 GHz and a measurement accuracy of ±0.2 GHz under different input microwave power levels is realized.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.026
GPT teacher head0.221
Teacher spread0.195 · 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 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

Citations80
Published2010
Admission routes1
Has abstractyes

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