6-k/spl Omega/ 43-Gb/s differential transimpedance-limiting amplifier with auto-zero feedback and high dynamic range
Bibliographic record
Abstract
A high-gain, 43-Gb/s InP HBT transimpedance-limiting amplifier (TIALA) with 100-/spl mu/A/sub pp/ sensitivity and 6 mA/sub pp/ input overload current is presented. The circuit also operates as a limiting amplifier with 40-dB differential gain, better than 15-dB input return loss, and a record-breaking sensitivity of 8 mV/sub pp/ at 43 Gb/s. It features a differential TIA stage with inductive noise suppression in the feedback network and consumes less than 450mW from a single 3.3-V supply. The TIALA has 6-k/spl Omega/ (76dB/spl Omega/) differential transimpedance gain and 35-GHz bandwidth and comprises the transimpedance and limiting gain functions, an auto-zero dc feedback circuit, signal level monitor, and slicing level adjust functions. Other important features include 45-dB isolation and 800-mV/sub pp/ differential output.
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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) | 0.004 | 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".