Moment-Generating Function Method Used to Evaluate the Performance of a Linear Optical Communication System
Bibliographic record
Abstract
The moment-generating function (MGF) of the received photoelectric current is evaluated for a linear optical communication system consisting of distributed amplified spontaneous emission (ASE), polarization-mode dispersion (PMD), and polarization dependent loss (PDL). Using this function, optical performance characterization based on the bit error rate (BER), Q-factor, and signal-to-noise ratio (SNR), can be evaluated. As an example of the applicability to binary differential phase-shift keying (DPSK) systems with defined PDL, the BER results predicted by linked model and lumped model are compared. Our results indicate that the difference can be orders of magnitude when the PDL is larger than 2.5 dB. Additionally, random PDL induced statistical feature of the BER is entirely different for these two models. Finally, relations between the statistical variations of other performance parameters ( Q-factor and SNR) and link model parameters (input signal polarization, average PDL value, and link number <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</i> ) are also investigated.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".