Bibliographic record
Abstract
This paper presents the implementation and performance testing of the wavelet modulation technique for three phase, 6-pulse, voltage source ac-dc converters. The wavelet modulation technique is based on utilizing sets of scale-based linearly-combined wavelet scaling and synthesis basis functions in order to construct a non-dyadic type multiresolution analysis (MRA). The analysis part of the constructed MRA creates three sets of groups of non-uniform recurrent samples from a reference dc signal. The synthesis part of the constructed MRA generates switching signals for operating the three phase ac-dc converter to synthesize the reference dc signal on its output side. The wavelet modulation technique is implemented for performance testing, when operating three phase ac-dc converters. Test results show that the wavelet modulation technique is capable of operating three-phase, 6-pulse, voltage source ac-dc converters to produce outputs with high dc components and reduced harmonic contents, while maintaining close-to-sinusoidal input currents at a nearunity power factor.
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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) | 0.002 | 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".