A Novel 10-Bit 2.8-mW TDC Design Using SAR With Continuous Disassembly Algorithm
Bibliographic record
Abstract
This brief introduces a successive approximation time-to-digital converter based on a novel algorithm denoted as successive approximation register with continuous disassembly (SAR-CD). The main advantage of the proposed SAR-CD algorithm is that it moves the conditioning between the evaluated bits to the digital domain, after all the bits are evaluated. Simulation results show promising enhancements in power consumption compared with the state-of-the-art designs. A full 10-bit architecture is introduced using 65-nm CMOS technology as a case study with simulation power consumption of 2.8 mW at a sampling rate of 29.4 Msample/s from 1-V power supply with an effective number of bits value of 8.63 bits and a maximum differential nonlinearity of 1 least significant bit.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".