An Area-Efficient 8-Bit Single-Ended ADC With Extended Input Voltage Range
Bibliographic record
Abstract
This brief presents an 8-bit successive approximation register analog-to-digital converter (ADC) implemented within a system-on-chip (SoC) for autonomous flapping-wing microrobots. The ADC implements hybrid split-capacitor sub-digital-to-analog converter (DAC) techniques to achieve 35.72% improvement in a capacitor bank energy-area product. The device also implements an extended single-ended input voltage range allowing a direct connection to sensors while maintaining low-power operation. This technique allows 51.7% DAC switching energy reduction compared to the state of the art. The SoC, fabricated in 40-nm CMOS, includes four parallel 0.001 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> 1 MS/s ADC cores multiplexed across 13 input ports. It enables 0 to 1.8-V input range while operating off of a 0.9 V supply. At 1 MS/s, the ADC achieves a signal-to-noise and distortion ratio of 45.6 dB for a 1.6-V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">pp</sub> input signal and consumes 10.4 μW.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".