A Distortion-Compensated Charge Transfer Amplifier for a 1.66-MHz Cyclic Pipeline ADC
Bibliographic record
Abstract
A distortion-compensated charge transfer amplifier (DCCTA) is proposed to improve the linearity constraints of the differential charge transfer amplifier (DCTA). The proposed DCCTA effectively reduces distortion at its output by source degeneration, cross coupling, and making the drain-to-source voltage of the amplifying transistor independent of the applied input signal. This DCCTA yields an effective number of bits of 9.26 bits, compared with 6.05 bits for the DCTA at 40 MHz while consuming only 13.5 μW from a 1.2-V source. A 1.66-MHz cyclic pipeline analog-to-digital converter employing this DCCTA as a residue amplifier was simulated using 90-nm CMOS process, resulting in a peak resolution of 9.21 bits, without being limited by the thermal noise.
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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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".