Arbitrary waveform generation system using a quantum dash optical frequency comb source
Bibliographic record
Abstract
We present an approach for microwave photonic (MWP) arbitrary waveform generation utilizing a quantum dash optical frequency comb source. Leveraging the availability of up to 41 comb lines and incorporating a real-time control feedback loop for precise comb shaping, we design a suite of MWP filters. Through the introduction of an ultra-short RF train, we obtain the impulse responses of the MWP filters, facilitating the construction of a versatile MWP arbitrary waveform generation system. In this study, we showcase the generation of rectangular, triangular, and sine burst waveforms. We can achieve an accuracy exceeding 90% in our generated waveform compared to the target waveform. Additionally, we demonstrate the tunability of the pulse width of rectangular and triangular waveforms, ranging from 0.62 ns to 4.56 ns, along with the adjustability of the triangular waveform slope. By manipulating the delay of the MWP filter, our system can also generate sine bursts, periodic sinusoids, and sinusoids with envelopes, with clock frequencies lower than that of the sinusoid itself.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".