A CMOS circuit for embedded GHz measurement of digital signal rise time degradation
Bibliographic record
Abstract
An embedded diagnosis circuit for quantifying the degradation in digital signals rise/fall time is presented. The proposed measurement technique differs from previous approaches in many ways. Firstly, it avoids the use of undersampling which can become problematic at high speeds; instead, it relies on a real-time asynchronous sampling approach which eliminates the distortion jeopardy imposed by the front-end sampling network, sampling clock jitter, and delay line jitter for GHz range applications. Secondly, the information is processed in the time domain which makes use of the recent developments in time-domain amplification (Oulmane and Roberts, 2004). Thirdly, a dynamic current generation technique is used to achieve great reduction in static power dissipation and allows the front-end level-crossing detector to work at such high speeds. The circuit was implemented in a standard 0.18-mum CMOS process. Simulation results show the feasibility of the proposed approach. Preliminary experimental results are also presented. The proposed circuit can be equally used to perform on-chip analog slew rate measurement
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".