A Compact Dual-Band Quasi-Elliptic Filter Employing Meander-Line- and CRLH-Based SIW Triplets
Bibliographic record
Abstract
A compact dual-band quasi-elliptic filter with high selectivity is developed and investigated in this communication. It employs two hybrid-structure substrate integrated waveguide (SIW) triplets, which show completely inverse transfer responses under the same conditions of inductive cross coupling. The first meander-line-based triplet is able to produce a transmission zero (TZ) above the passband. Whereas the second SIW triplet,which is composed by a composite right/left-handed (CRLH) resonator, creates a TZ below the passband. By utilizing these features, a dual-band quasi-elliptic filter based on SIW dual-mode resonances (TE101and TE201), whose operating frequencies are allocated at 8 GHz and 10 GHz, is designed for demonstration. The design process, principles, and experiments are carefully described in this communication. The measured and simulated results are in good agreement, indicating excellent electrical performance with low loss, compact device size and high selectivity. The most notable point is that a dual-band quasi-elliptic filter on SIW platforms is obtained with all inductive couplings for the first time, which shows a unique benefit in eliminating negative-coupling structures while permitting miniaturization for SIW dual-band 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".