A Memory-Based Direct-Digital Frequency Synthesizer for Fractional Synchronization
Bibliographic record
Abstract
This brief presents a fully integrated energy-efficient memory-based direct digital frequency synthesizer (DDFS). To overcome the limitation of using an accumulator and a Read-Only Memory (ROM) Lookup Table (LUT) within a DDFS, the proposed design utilizes a 6-bit memory with a configured mode of operation to synchronize the digital output clock with the input sampling clock. The proposed DDFS is able to tune the output phase and frequency once a phase rotator is used in the input clock path. To realize the proposed DDFS, a 6-bit memory in front-end and some analog blocks in back-end are employed. The prototype DDFS achieves jitter below 12.7ps$_{rms}$integrated over a 100MHz bandwidth with 28.25Hz resolution while consuming less than 3mW at sampling clock 3.12GHz. The proposed DDFS is fabricated in a 0.9V TSMC 7nm CMOS process and occupies a core area of only 0.014mm2.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".