A Low-Power Gateable Vernier Ring Oscillator Time-to-Digital Converter for Biomedical Imaging Applications
Bibliographic record
Abstract
In this paper, a high resolution, high precision and ultra-low power consumption time-to-digital converter (TDC) is presented. The proposed TDC is based on the gateable Vernier ring oscillator architecture. Fine resolution is achieved through two ring oscillators arranged in the Vernier configuration. This TDC employs a single-transition end-of-conversion detection circuit and turns off the ring oscillators whenever the conversion is completed to reduce power consumption. The prototype chip is fabricated in a standard 130 nm digital CMOS process and its area is only 0.03 mm(2). Using a 1.2 V supply, the TDC achieves a resolution of 7.3 ps, a single-shot precision of 1.0LSB, and an average power consumption of 1.2 mW. A root-mean-square integral nonlinearity (INL) of 1.2 LSB is obtained with the help of an INL look-up-table calibration. Compared to previously reported ring-oscillator based TDCs, the proposed design achieves the lowest power consumption to date.
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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 | 0.001 |
| 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".