Experimental performance of an adaptive digital linearized power amplifier
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Bibliographic record
Abstract
The authors present experimental results in which an adaptive complex gain predistorter achieved a reduction in out-of-band spectral emissions in excess of 20 dB for a class AB amplifier operating close to saturation. The experimental results demonstrate that a class AB power amplifier may be linearized without sacrificing efficiency. Although significant spectral reduction was achieved in the adjacent channel, the out-of-band spectral floor was flat and approximately -50 dB from the inband spectra. The complex gain predistorter exhibits two distinct advantages: a design engineer is not forced to back off a power amplifier to its linear but highly inefficient operating point; and adaptive correction allows the effects of frequency changes, drift in bias, operating point, aging and thermal stress to be readily compensated.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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 | 0.001 |
| 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)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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