Continuous-time adaptive-analog coaxial cable equalizer in 0.5 μm CMOS
Bibliographic record
Abstract
The transmission of high-speed data on copper suffers from frequency-dependent losses that can cause significant intersymbol interference. The losses mainly arise from the increase in series resistance at high frequencies due to the skin effect. There are also dielectric losses, which are significant in the GHz range and higher. To correct for frequency dependent losses, an integrated circuit continuous-time analog filter is used. An on-chip adaptive control loop provides correction for any cable length. As part of the present research, many of the building blocks required for a CMOS implementation of the equalizer system have been designed and submitted for fabrication in a 0.5 /spl mu/m standard-digital-CMOS process. The equalizer is realized in an area of 1.1 mm/sup 2/, with power dissipation of 30 mW, using a 3.3 V power supply.
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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 | 0.000 | 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) | 0.001 | 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".