On-Chip Jitter Measurement Using Jitter Injection in a 28 Gb/s PI-Based CDR
Bibliographic record
Abstract
We present a technique to measure random jitter in a phase interpolator (PI)-based clock and data recovery (CDR) circuit by injecting a controlled amount of square-wave jitter into its edge clock and monitoring its effect on the autocorrelation function of the CDR's bang-bang phase detector output. Jitter is injected by adjusting the code of the edge PI while the autocorrelation function is measured by on-chip counters. Since the injected jitter only affects the edge clock, the CDR remains operational during jitter injection. Using this technique, the rms relative jitter between the clock and data at the CDR input can be estimated with sub-picosecond accuracy as demonstrated in measurements of a 28 Gb/s half-rate digital CDR fabricated in 28 nm CMOS.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".