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Record W2145869658 · doi:10.1109/mwsym.2012.6259440

High-resolution microwave frequency measurement based on temporal channelization using a mode-locked laser

2012· article· en· W2145869658 on OpenAlexaff
Chao Wang, Jianping Yao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Fiber Laser Technologies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMicrowaveWaveformSIGNAL (programming language)OpticsMaterials scienceLaserResolution (logic)Frequency modulationSpectral resolutionOptical filterPhysicsRadio frequencyComputer scienceTelecommunicationsSpectral lineRadar

Abstract

fetched live from OpenAlex

High resolution microwave frequency measurement based on temporal channelization using a mode-locked laser is proposed and demonstrated. In the proposed system, a highly chirped optical pulse is modulated by a microwave signal with its frequency to be measured. The temporal microwave waveform is then mapped to the spectral domain thanks to dispersive Fourier transformation in a dispersive fiber. An optical channelizer is then employed to filter the spectrum, which is equivalent to performing temporal sampling of the temporal waveform. The microwave signal can then be reconstructed and its spectral distribution can be analyzed. Our method features greatly improved measurement resolution, which is more than two orders of magnitude higher than that based on the direct use of an optical channelizer. To evaluate the proposed technique, frequency measurement of a single-tone and a two-tone microwave signals is demonstrated. A measurement resolution as high as 200 MHz is achieved using an optical channelizer with 25-GHz channel spacing.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.720
Threshold uncertainty score0.685

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 head0.035
GPT teacher head0.256
Teacher spread0.221 · 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

Citations5
Published2012
Admission routes1
Has abstractyes

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