SIW Triplets Including Meander-Line and CRLH Resonators and Their Applications to Quasi-Elliptic Filters
Bibliographic record
Abstract
This article presents a design technique of quasi-elliptic filters by applying two novel planar triplets, which eliminates the need for negative couplings. A composite right-/left-handed (CRLH) resonator, together with a meander-line resonator, is investigated first in this article. These two resonators demonstrate a significant difference with respect to their phase shift characteristics that are completely opposite below and above their resonant frequencies. With such a feature, two meander-line and CRLH-loaded substrate integrated waveguide (SIW) triplets are proposed, which can produce a transmission zero (TZ) above and below the passbands if an inductive cross coupling is applied. Therefore, all couplings would be positive regardless of the location of TZs. The applications of the two triplets to quasi-elliptic filters, which are realized by parallel and cascaded triplet topologies, are then illustrated. Two filter prototypes operating at the$X$-band are designed and fabricated for validation. They show outstanding electrical performance in terms of high selectivity, low loss, and compactness. It indicates that a joint application of conventional shunt LC resonant nodes and a CRLH node is a viable option in filter design.
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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 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".