An 800 kS/s 1.83 fJ/conv. 12b ADC via Voltage Successive Approximation and Gated Cyclic Vernier Time Digitization
Bibliographic record
Abstract
A 12b analog-to-digital converter (ADC) consisting of an 8b successive approximation register (SAR) ADC, a voltage-to-time converter (VTC), and a gated cyclic Vernier time-to-digital converter (TDC) is presented. A number of design techniques including a sub-threshold delay-locked loop (DLL) with pulsed outputs to generate the clock signals of the ADC, a power/area-efficient technique to eliminate the kickback-induced errors of the comparator, a gated cyclic Vernier TDC to eliminate resolution loss at both input injection and catch, a self-resetting arbiter, and a power/area-efficient synchronous SAR are proposed. The ADC is designed in a TSMC 130 nm CMOS technology with a reduced supply voltage of 0.8 V. The simulation results of the ADC with a 7.42 kHz 400 ∼ 800 V differential sinusoidal input voltage show that at 800 kS/s, the ADC offers 59.32 dB SNDR and 9.56 ENOB while consuming 3.44 µW, yielding 1.83 fJ/conv. FOM.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".