Time-mode reconstruction iir filters for ΣΔ phase modulation applications
Bibliographic record
Abstract
This paper presents the design of several low-pass IIR time-mode filters for use as reconstruction filters in digital-to-time conversion (DTC) applications. Previously, such reconstruction filters were implemented using phase-locked loops. The proposed filters are constructed from a simple digital-like structure involving voltage-controlled delay units. The resulting circuits require very small silicon area and consume very little power. A first-order filter design for wideband reconstruction applications was fabricated in a 0.13 µm CMOS process occupying a silicon area of 170 ¼m x 100 ¼m and consumes 670 mW. Another design, intended for narrowband sigma-delta phase signal generation applications, is proposed that utilizes similar building blocks, but uses a filter topology that is better suited for transfer functions with high-Q poles. High-order realizations can be constructed as the cascade of several first-order sections. Such an approach will be demonstrated in the design of a sigma-delta phase encoding signal generation scheme.
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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) | 0.001 | 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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".