Development and Evaluation of a High Frequency Response Signal Conditioning Amplifier for Miniature, Silicon Bridge-Type Pressure Transducers
Bibliographic record
Abstract
In addition to their small size, miniature silicon pressure transducers offer wide-band frequency response. Taking advantage of the high-frequency response of these pressure transducers within an electrically noisy environment requires high bandwidth amplification and anti-alias filtering. This paper describes a signal conditioning amplifier that provides for linear phase filtering of a differential or single-ended input signal and outputs a differential signal. Differential signals are suitable for driving long cable runs that may be required when digital recording hardware cannot be located in close proximity to experimental apparatus. The design has also been shown to exhibit nearly constant group delay over the pass-band, reducing the need for substantial oversampling of the pressure transducer signals to avoid the nonlinear phase response typical of low-pass filters in the vicinity of their cut-off frequency. Testing has shown the module to provide a very flat pass-band response while achieving a high-order filter response at the cut-off frequency, along with excellent steady state DC accuracy.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".