Analysis and Design of a 10 Gbps Transimpedance Amplifier using 0.18μm CMOS technology
Bibliographic record
Abstract
This paper examines the design of a 10 Gbps transimpedance amplifier (TIA) in 0.18 mum CMOS technology. In order to compensate for the high parasitic capacitances in the CMOS process, this design uses a shunt and series inductive peaking technique to achieve the required transimpedance bandwidth. A noise analysis on the input stage of the TIA is shown. This noise model is used to determine the optimum device size required to minimize the average input referred noise current. Simulation results for the TIA are presented showing a transimpedance gain of approximately 52 dBΩ. The simulated average input referred noise current of the differential TIA is shown to be approximately 27 pA/√radicHz
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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 | 0.001 | 0.002 |
| 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) | 0.000 | 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".