An Under Sampling Scope for Characterization of 42-Gs/s DAC in 28-nm FD-SOI
Bibliographic record
Abstract
This letter presents a robust, low power, high frequency under sampling scope (USS) for the characterization of high frequency, and high data rate digital-to-analog converters (DACs). The under sampling technique employed in this letter allows for low power front-end implementation while providing the required bandwidth to capture the 42 Gs/s input data. A highly linear track and hold stage are realized using the bootstrapping technique. A robust process/temperature insensitive all-digital 9-bit sigma-delta (ΣA) DAC is implemented to provide variable reference voltage for the comparator. Also, a digital engine controls the whole digitization process. Implemented in a 28 nm FD-SOI technology, the USS characterizes the DAC as good as a real-time monitor. The power consumption of the sample scope is only 28 mW from a 1 V supply voltage.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".