An Ultra-Fast Very Large Scale Interleaved Li-Fi Transmitter
Bibliographic record
Abstract
This paper combines multiphase and multilevel interleaving using distributed active switches and integrated magnetics into a unified very large scale interleaving (VLSI) technique to develop ultra-fast power electronics with outstanding large-signal tracking capability. The large-signal reference-tracking capabilities considering the fundamental sampling limit, modulator, and output filter are derived, including how reduced-amplitude, above-switching-frequency tracking is possible for highly interleaved converters. The capabilities of very large scale interleaving are demonstrated with a 64× interleaved, four-phase, 17-level FCML converter enabled by passive flying capacitor balancing provided by a four-phase tightly coupled inductor. The applicability and efficacy of the theory are verified by using the converter to directly power a 400 W Li-Fi transmitter communicating with OOK/16-QAM at 2.4× the switching frequency and 95.5% efficiency.
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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) | 0.001 | 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".