Bibliographic record
Abstract
This paper presents a method and a device to demodulate the front end Radio frequency (RF) signal by measuring the displacement of the micro-plate in an electrostatic MEMS paddle actuator. Specifically, it investigates the feasibility of demodulating Amplitude Modulated (AM) signals. The operating principle of the MEMS demodulator is explained and modeling and simulation results are presented to demonstrate the feasibility of AM demodulation. The MEMS demodulator was fabricated and tested. Experimental validation results are reported here. The measured displacement of the micro-plate were found to follow closely baseband signals with varying frequencies thus demonstrating a mechanical demodulator able to extract the baseband signal from the modulated RF signal. In concrete terms, the MEMS demodulator extracted a baseband signal corresponding to a micro-plate RMS displacement of 30.8 nm from a modulated input signal of 48.6 mV RMS and a carrier frequency of 138 kHz.
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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".