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Record W1498496729

Instantaneous photonic microwave frequency measurement with a maximized measurement range

2009· article· en· W1498496729 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.

Bibliographic record

VenueInternational Topical Meeting on Microwave Photonics · 2009
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMicrowaveSIGNAL (programming language)CalibrationSystem of measurementMicrowave engineeringElectronic engineeringMaterials sciencePhotonicsRange (aeronautics)Continuous waveOpticsOptoelectronicsComputer sciencePhysicsTelecommunicationsEngineeringLaser
DOInot available

Abstract

fetched live from OpenAlex

The use of photonic techniques to achieve frequency-to-power mapping is very attractive for instantaneous microwave frequency measurement. To have a large measurement range and a uniform measurement resolution in the range, to accurately evaluate the center frequency of a continuous-wave (CW) as well as a pulsed microwave signal, and to easily perform calibration of the measurement system, a linear amplitude comparison function (ACF), defined as the ratio of two powers of the microwave signal experiencing different power fading, is highly desirable. In this paper, we propose and demonstrate, for the first time, a novel technique to achieve a linear ACF for microwave frequency measurement with a maximized measurement range. For a measurement resolution of ≅0.4 GHz, a measurement range of 0˜25 GHz is obtained for a CW microwave signal and a measurement range of 3˜18 GHz is achieved for a pulsed microwave signal. The system is potentially integratable in a monolithically chip, which have the desirable features of small size, low cost and stable operations.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.437
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.241
Teacher spread0.211 · 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