Signal Integrity Analysis of a High Precision D/A Converter
Bibliographic record
Abstract
The purpose of this paper is to investigate the significance of different coupling mechanisms that occur in a high precision D/A converter. The standard Integrated Circuit Emission Model approach is applied to an existing D/A converter built in TSMC CMOS 0.25 μm technology. Aggressors, propagation media and victims are defined and modelled using classical CAD tools. Potential noise sources and victims are identified and some frequency and time domain simulation results reveal the noise source signatures. This study highlights the main noise source in such kind of converters: the charging/discharging switch current that occur at each sampling period. Based on detailed simulations, the 60 mV peak to peak voltage glitch observed on the output is explained by power and ground ringing due to current switches, whereas previous studies suggested that such glitches were due to substrate coupling. The simulated substrate propagated digital glitches have a peak to peak voltage of 5 mV, and are more than ten times lower than glitches induced by the current switch activities.
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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 | 0.001 |
| 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) | 0.001 | 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".