A DSP-Based Control Method For a Nonlinear Mach–Zehnder Interferometer DPSK Regenerator
Bibliographic record
Abstract
A frequency offset and phase control method is described for a differential-phase-shift-keying (DPSK) 2R (reamplification and reshaping) regenerator based on a nonlinear Mach-Zehnder interferometer. The controller is comprised of a coherent receiver, analog-to-digital converters (ADCs), a digital signal processor, and an optical frequency/phase shifter. For a 40 Gb/s DPSK signal, simulation results demonstrate that an ADC sampling rate of only 335.94 MSa/s is needed to adequately estimate the frequency offset and phase noise, and adjust the pump signal accordingly. The cascadability of the 2R regenerator is evaluated in recirculating loop simulations for different regenerator spacings, using both ideal DPSK signals and captured experimental DPSK signals. The influence of residual span dispersion on the performance 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 | 0.001 | 0.000 |
| 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".