MétaCan
Menu
Back to cohort
Record W4293868620 · doi:10.1109/ims37962.2022.9865314

Photonic-Enabled Real-time Spectrogram Analysis of sub-Nanosecond Microwave Events over a 40-GHz Instantaneous Bandwidth

2022· article· en· W4293868620 on OpenAlexafffund
M. Röwe, Benjamin Crockett, José Azaña

Bibliographic record

Venue2022 IEEE/MTT-S International Microwave Symposium - IMS 2022 · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Fiber Laser Technologies
Canadian institutionsInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBandwidth (computing)SpectrogramMicrowaveTime–frequency analysisPhotonicsUltrashort pulseNanosecondGapless playbackOpticsPhysicsFourier transformComputer scienceRadarTelecommunicationsLaser

Abstract

fetched live from OpenAlex

We demonstrate an optical method based on an electro-optic time lens for real-time and gapless time-frequency analysis of microwave signals, with analysis rates up to 1.56 billion Fourier transforms per second, operation bandwidth spanning up to ~40 GHz, and a frequency resolution <1.56 GHz. The genuine gapless operation is thoroughly investigated by showing the successful detection of events as short as 160 ps, regardless of their time of arrival. The short time resolution makes this method ideally suited for the recovery of ultrafast frequency hop signals.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.013
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.005
GPT teacher head0.232
Teacher spread0.227 · 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.

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

Citations4
Published2022
Admission routes2
Has abstractyes

Explore more

Same venue2022 IEEE/MTT-S International Microwave Symposium - IMS 2022Same topicAdvanced Fiber Laser TechnologiesFrench-language works237,207