A low-power class-AB BiCMOS opamp using 'pseudo-pnp' transistors
Bibliographic record
Abstract
A low-power Class AB BiCMOS operational amplifier is discussed. Low power is achieved through Class-AB architecture, as well as through a structure called pseudo-PNP. The pseudo-PNP structure, along with an appropriate level-shifting arrangement, has the advantages of high transconductance per unit of bias current and zero input bias current as compared to either a PMOS or a lateral-PNP transistor. The application, advantages and tradeoffs of this structure as input devices and current-mirrors, are explained. A Class-AB operational amplifier using pseudo-PNP is proposed. For 0.8-/spl mu/m BiCMOS technology, this shows a gain of 73.8 dB, a unity gain bandwidth of 49 MHz, and a settling time of 98 ns for a 2.5 V step at a quiescent power of 12 mW.>
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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) | 0.002 | 0.001 |
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".