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 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$_{rms}$ </tex-math></inline-formula> 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 0.014mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> .
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".