A Two-Phase, Single-Comparator, Comparison-Reference-Free Level Crossing ADC for Time-Sparse Applications
Bibliographic record
Abstract
A novel discrete-time, level-crossing analog-to-digital converter (LC-ADC) is proposed in this paper. The proposed LC-ADC exploits only one comparator for fully-differential implementation. By using a single comparator twice for each sample instead of using two separate comparators, significant area saving is achieved. The proposed DT LC-ADC is implemented using 180-nm standard CMOS technology with 8 bits of resolution, targeting a 10-kHz bandwidth. Post-layout simulation results indicate that the ADC consumes 18.94μW for a 10-kHz input signal at a supply voltage of 1.2 V. The LC-ADC achieves 11.16-bit ENOB, 68.96 dB SNDR, and 79.95 dB SFDR within the signal bandwidth, and 8.22-bit ENOB, 51.29 dB SNDR, and 55.73 dB SFDR over the full bandwidth.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".