Study of designing recursive 2-d digital filter from an analog bridged-t network
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Bibliographic record
Abstract
This paper proposes a new technique of designing 2-D recursive digital filters starting from a doubly-terminated analog bridged- T network. This network contains inductive and capacitive reactance elements in s <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> and s <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> domains. The different possibilities are examined . When compared with the fourth order Butterworth polynomial, only three possibilities exist and the corresponding impedances are obtained. Starting with such an analog bridged-T network, 2-D filters are obtained through the application of double generalized bilinear transformations with the coefficients in the specified ranges to ensure stability. Different filter outputs can be obtained, depending on the starting network and the coefficients of the generalized bilinear transformations
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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 | 0.002 |
| 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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