Equivalent Circuit and Electromagnetic Based CAD Tool for Dual-Mode Ku-Band Elliptic and Butterworth Filters
Bibliographic record
Abstract
Recent drive in RF/microwave industries towards higher operating frequencies and complex designs, coupled with corporate pressures like manufacturability-driven design and time-to-market, demand advanced computer aided design (CAD) tools for microwave and millimeter-wave circuits. Filtering is a key operation in most high-frequency applications. Dual-mode filters are attractive since they reduce the need for number of resonators (or cavities) by a factor of two. Butterworth filters, in particular, provide a maximally flat response in the pass-band. In this paper, we present a CAD approach for design and tuning of dual-mode Ku-band filters. In the proposed approach, design and tuning are performed using an equivalent-circuit based in-house computer program and a full-wave EM solver. The approach is illustrated via design and tuning of a 14.5 GHz Butterworth filter
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".