Dual-mode substrate integrated waveguide (SIW) bandpass filters with an improved upper stopband performance
Bibliographic record
Abstract
Dual-mode substrate integrated waveguide (SIW) filters with improved upper stopband attenuation is presented. The filter is comprised of TE102and TE201modes waveguide resonator. The proposed filters are implemented using substrate integrated waveguide (SIW) technology featuring compact size, low cost, and high power-capacity. A simple solution for improving the upper stopband performance while maintaining compact size realization is provided. The stopband improvement is achieved by using defected ground structure (DGS) which is etched on the ground plane of the SIW cavity. Compared to previous-reported SIW filters with improved stopband achieved by lowpass cleanup filters, the proposed approach provides a relatively compact realization while reducing the complexity of the overall structure. Simulation examples of single- and double-cavity dual-mode SIW filters are realized using EM simulations for demonstrating the underlying principle.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".