Efficiency Analysis of Low Power Class-E Power Amplifier
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents an analysis of effect of inductor and switch losses on output power and efficiency of low power class-E power amplifier. This structure is suitable for integrated circuit implementation. Since on chip inductors have large losses than the other elements, the effect of their losses on efficiency has been investigated. Equations for the efficiency have been derived and plotted versus the value of inductors and switch losses. Derived equations are evaluated using MATLAB. Also, Cadence Spectre has been used for schematic simulation. Results show a fair matching between simulated power loss and efficiency and MATLAB evaluations. Considering the analysis, the proposed power amplifier shows about 13 % improvement in power effiency at 400 MHz and -2 dBm output power. It is simulated in 0.18 ?m CMOS technology.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it