Soft Switching Symmetric Bipolar Outputs DC-Transformer (DCX) for Eliminating Power Supply Pumping of Half-Bridge Class-D Audio Amplifier
Bibliographic record
Abstract
A soft switching symmetric bipolar outputs dc-transformer (DCX) for eliminating power supply pumping of half-bridge class-D audio amplifiers is proposed in this paper. Compared with the traditional unidirectional front-end dc-dc converter in the half-bridge class-D audio amplifier, output capacitances of the proposed DCX and voltage stress of the half-bridge class-D audio amplifier are significantly reduced. Soft switching of the proposed DCX can be achieved when the load current of half-bridge class-D audio amplifier is positive or negative. Thus, the efficiency and power density of the proposed audio amplifier system can be improved. In addition, the proposed DCX has smoothing transition between the positive load current and the negative load current with a simple open-loop controller. The operating principle of the proposed DCX is analyzed and a 200-W prototype is built up. Experimental results show that power supply pumping is reduced with small DCX output capacitors, symmetric bipolar outputs are obtained and peak efficiency of 96.3% is achieved.
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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) | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".