Compact elliptic-function lowpass filter using improved mushroom resonator cells
Bibliographic record
Abstract
An improved mushroom resonator cell is proposed for the design of the compact elliptic-function lowpass filter (LPF). This resonator cell provides sharp skirt and wide stopband for the LPF. As an example, a five-pole elliptic-function LPF with cutoff frequency 2.5 GHz has been designed and fabricated. The measurement results show good agreement with those of simulations. The measured insertion loss in the passband is less than 0.3 dB, and the stopband over 20 dB is from 3 to 10.7 GHz. The dimensions of the LPF are as small as 6 × 15 mm (i.e. 0.082λ × 0.18λ where λ is the guided wavelength at cutoff frequency).
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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".