Amulti-level phase/frequency detector for clock and data recoveryapplications
Bibliographic record
Abstract
A clock and data recovery circuit is an important building block in data communication systems and the phase detector (PD) is one of the critical parts of a CDR. A bang-bang phase detector is suitable for low-power high-bit-rate operation, but a separate frequency detector (FD) has to be used for frequency acquisition, which results in some problems such as frequency drift, sudden phase jump due to the disaccord of the PD and FD. To solve these problems, this paper proposes a novel phase/frequency detector (PFD) with an extended operating range and a multiple-level output for half-rate CDR applications. Because of its multiple-level output, the CDR can achieve lower output clock jitter than a conventional binary PD. The proposed PFD has an operating speed comparable to conventional bang-bang PDs and can also be used in full-rate CDRs with minor modification. The simulation of a half-rate CDR model employing this type of PFD confirms the feasibility of the proposed PFD
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".