Estimation of Frequency Characteristics of Super-Narrow Band Digital Filters
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Bibliographic record
Abstract
The verification of frequency characteristics of narrow-band biline structures is rather problematic. The traditional way of an estimation of dynamic frequency characteristics by the impulse response (IR) is inconvenient in this case because of its excessively big demanded length. It does not allow investigating the frequency characteristics with necessary accuracy by means of fast Fourier transformation (FFT). The last one brings practically unpredictable errors because of insufficient precision of machine arithmetic and excessively big number of demanded arithmetic operations. The new method of verification of frequency characteristics of recursive narrow-band systems is offered. The problem of a choice of necessary duration of the corresponding impulse response and criteria of its maximum deviation from ideal is being discussed. The examples of correct verification of dynamic characteristics are shown. Ill. 5, bibl. 9 (in English; summaries in English, Russian and Lithuanian).
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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