A discriminator-aided optical phase-lock loop constructed from commercial components
Bibliographic record
Abstract
Wireless access systems operating at higher microwave/mm-wave frequencies (10-60 GHz) are attractive because of ample spectrum availability and the potential for large bandwidth allocations. The difficulty with such a system is in the high cost associated with the microwave sources and signal distribution. Optical fibers are an obvious means of alleviating distribution problems, but optical modulation techniques are not currently capable of economically generating mm-wave frequencies. One potentially cost-effective method to fabricate such a system is via optical heterodyning. In such a system, it is relatively simple to generate microwave and mm-wave carriers. However, the difficulties in generating a high-quality signal are two-fold: The first is in maintaining a specific frequency difference (i.e. microwave signal) between the lasers for a prolonged period of time. The second is in narrowing the inherent linewidth of the laser from the MHz values typically produced by conventional semiconductor lasers, down to values more practical for a communication system. The applications in which this microwave signal can be used are determined by the degree to which the linewidth can be reduced. This presentation will discuss the design and implementation of an 11 GHz discriminator-aided, optical phase-lock loop constructed from commercially available external-cavity lasers incorporating fiber Bragg gratings.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".