M2AQAM—Continued M2BNetwork Planning—Continued M2CCoded Modulation I—Continued M2DRadio-over-Fiber I—Continued M2EDC 100 Gb/s and Beyond Transmission— Continued M2FLow Loss and Hollow Core Fibers— Continued
Bibliographic record
Abstract
2 ; 1 Bell Laboratories, Alcatel-Lucent, USA; 2 Micram Microelectronic GmbH, Ger- many. We present a novel 2-channel arbitrary waveform generator (AWG) prototype, generating complex signal constellations with 6-bit digital-to-ana- log conversion (DAC) of up to 72 GS/s at a 6-dB bandwidth of 23 GHz. We generate a 55-GBd root-raised cosine shaped single-carrier 64-QAM signal. 1 ; 1 TE Sub- Com, USA. We experimentally study the performance of coded-modulation formats based on Nyquist-spectrally- shaped mQAM constellations with spectral efficiencies from 2.4 to 8.0 bits/s/Hz, and demonstrate that the relative performance in uncompen- sated links depends only on their respective OSNR sensitivity. TeraXion, Canada. We experimentally investigate the impact of sinusoidal laser phase on parallel and pipelined decision-directed phase recovery in a 5 Gbaud 64-QAM system, including the effects of frequency offset com- pensation and equalization. M2B.4 • 14:15
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".