Performance of a 10.709 Gb/s DPSK signal generated using a FIR filter and a DBR laser
Bibliographic record
Abstract
The generation of a 10.709 Gb/s differential-phase-shift keying (DPSK) signal is demonstrated using a 2-tap finite impulse response (FIR) filter and a wavelength tunable directly modulated distributed Bragg reflector (DBR) laser. The taps of the FIR filter are set to [1, -1] enabling the generation of a bipolar drive signal with a full width at half maximum of 90 ps and a square-like pulse shape. The combined use of the FIR filter with the DBR laser allows for a compact DPSK transmitter. The quality of the DPSK signal is assessed using both noncoherent detection and coherent detection with digital signal processing. Transmission over a passive link consisting of 102 km of single mode fiber (SMF) is achieved using coherent detection and electronic dispersion post-compensation, with a received optical power (ROP) of -44.6 dBm at a bit error ratio (BER) of 3.8×10-3and a 50 dB loss margin. Using noncoherent detection and no dispersion compensation, the same transmission distance is achieved with a ROP of -18 dBm at a BER of 3.8×10-3and a 23 dB loss margin.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".