Square-Wave Modulated Damping in Transimpedance Amplifiers
Bibliographic record
Abstract
A shunt-feedback transimpedance amplifier (SF- TIA) with a dynamic damping factor is presented. In the proposed SF-TIA, the damping factor switches between a low negative and high positive value synchronously with the incoming data which allows the fast response of low-damping factor while mitigating the intersymbol interference (ISI) associated with underdamped 2nd-order systems. The damping factor is modulated by adding a triode-region transistor with a rail-to-rail square-wave bias voltage across the outputs which changes the damping factor of the system between -0.15 and 2.5 each unit interval. The proposed TIA achieves more than twice the vertical eye opening and lower input referred noise compared to an optimized reference TIA as well as higher gain and lower input referred noise compared to a dynamic-damping TIA with sinusoidal damping-factor modulation.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".