Nonuniformly spaced photonic microwave delay-line filter using a spatially discrete chirped fiber Bragg grating
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".