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Record W2090929603 · doi:10.1109/mwp.2011.6088765

Nonuniformly spaced photonic microwave delay-line filter using a spatially discrete chirped fiber Bragg grating

2011· article· en· W2090929603 on OpenAlexaff
Chao Wang, Jianping Yao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsFiber Bragg gratingOpticsMaterials scienceFilter (signal processing)Optical filterMicrowaveGroup delay and phase delayWavelengthPhysicsComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

A new technique to implement a nonuniformly-spaced photonic microwave delay-line filter using a spatially discrete chirped fiber Bragg grating (SD-CFBG) is proposed and investigated. It is different from a regular nonuniformly-spaced photonic microwave delay-line filter where a laser array with nonuniformly spaced wavelengths is used to provide nonuniformly-spaced filter taps, the proposed method employs a single incoherent broadband optical source. The SD-CFBG is acting as a multifunctional device, to slice the broadband spectrum to generate the required filter taps, to provide nonuniform time delays to the taps, and to tailor the weights of the filter taps. By properly designing the spectral response of the SD-CFBG, a photonic microwave delay-line filter with arbitrary magnitude and phase response can be implemented. Based on this concept, a nonuniformly-spaced photonic microwave delay-line filter with a flat-top bandpass magnitude response and a quadratic phase response is designed and analyzed. The use of the designed filter for chirped microwave pulse compression is investigated.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score1.000

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)0.0020.000

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 head0.041
GPT teacher head0.252
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

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

Citations1
Published2011
Admission routes1
Has abstractyes

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