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 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 | 0.000 |
| 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".