A Stagger-Tuned Transimpedance Amplifier
Bibliographic record
Abstract
A new transimpedance amplifier (TIA) design procedure using stagger tuning with inverted transformer coils is described in this paper. A broadband TIA, realized using the proposed staggered design technique that enhances the transimpedance limit and the bandwidth while only adding small passband gain ripple, was implemented in a 0.13-μm standard CMOS process. The TIA achieves a 3-dB bandwidth of 33 GHz with a 150 fF photodiode capacitance. The TIA transimpedance gain is 43.8 dBQ with ±8 ps group-delay variation over the entire bandwidth. The circuit occupies an active area of 250 μm × 260 μm and consumes 9 mW from a 2 V supply. Despite operating with much larger photodiode capacitance, the TIA achieves the highest figure of merit, and occupies smaller area while consuming the least amount of power among previously published TIAs designed for the same data rate in similar technologies.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".