Multi-Stage Damping Factor Modulation in Optical Receiver Front-Ends
Bibliographic record
Abstract
This paper presents an optical receiver in which the damping factor of both the transimpedance and post amplifiers is modulated synchronously with incoming data. Modulation of the damping factor allows the fast response of low-damping factor while mitigating the intersymbol interference (ISI) associated with underdamped systems. The extension of dynamic damping to the post amplifier is investigated through simulation using a 65-nm CMOS process at 10 Gb/s. A shunt-feedback transimpedance amplifier (SF-TIA) with cross-coupled inverters at the output, optimized to reach minimum input-referred noise is used as a reference for creating SF-TIA and Cherry-Hooper post-amplifier (CH-PA) blocks. By modulating the damping factor in both blocks, the proposed system achieves more than three times the Vertical Eye Opening (VEO) and lower input-referred noise compared to the optimized reference. Alternatively, an equal-gain modulated system has 40 % lower power consumption compared to the reference design.
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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 | 0.001 |
| Open science | 0.001 | 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 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".