Anti-Imaging Time-Mode Filter Design Using a PLL Structure With Transfer Function DFT
Bibliographic record
Abstract
This paper presents a pole-zero placement approach for designing arbitrary-order time-mode filters for anti-imaging (reconstruction) applications. One application is for phase-domain sigma-delta modulation involving digital-to-time converters. The time-mode filters are constructed from an th-order type-II PLL single-loop feedback structure involving an active loop filter of order . The tradeoffs in terms of PLL order, noise bandwidth, settling- and lock-time, and the impact of the voltage-controlled oscillator (VCO) phase noise on the performance of the time-mode filter are investigated. A sixth-order PLL is designed and fabricated on a printed circuit board and is used to validate the proposed synthesis method. In addition, an all-digital phase stimulus generation method well suited to a digital scan-based design-for-test (DFT) approach for testing the frequency response behavior of time-mode filters and other PLL-based designs is proposed.
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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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".