Efficient computation alternatives for IEC 61000-4-30 supraharmonic quasi-peak detector
Bibliographic record
Abstract
This paper proposes alternate functions and algorithms to compute the diode model of the quasi-peak detector (QPD) recently included in the IEC 61000-4-30 standard. A set of 6 best-fit equations has been identified and parametrized to avoid the trigonometric function evaluation required by the original IEC quasi-peak (QP) receiver. These functions have been run bare metal on a system-on-chip (SoC) processor and have reduced time computation by up to 80% for this QPD assessment. Moreover, two versions of the coordinate rotation digital computer (CORDIC) algorithm are explored to compute the detector with precision under 1% compared to the reference IEC QPD. This algorithm has been run on the field programmable gate array (FPGA) from the same SoC and has been shown to have the lowest latency, resource consumption, and iteration bound.
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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".