Dual‐frequency impedance matching networks based on two‐section transmission line
Bibliographic record
Abstract
In this study, a practical and useful dual‐frequency property of two‐section transmission line (TSTL) terminated into a real impedance is reported. Moreover, to demonstrate some of its potential applications for the performance enhancement in dual‐frequency impedance transformation problems, modified L‐ and T‐type dual‐frequency matching networks are presented. Specifically, the property is used to modify the conventional L‐type matching network to improve its transformation‐ratio and frequency‐ratio performance. Furthermore, improvement in conventional dual‐frequency T‐type matching network is also demonstrated through the incorporation of the TSTL. All the results are analytical and in closed form with simple design equations. For validation, prototypes of the proposed L‐ and T‐type matching networks operating concurrently at 1 GHz/1.45 GHz and 1 GHz/2 GHz, respectively, are designed and fabricated on FR‐4 substrate. The obtained simulated and measured results clearly exhibit the usefulness of the proposed design schemes.
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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) | 0.001 | 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 | 0.000 |
| 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".