Synthesis and Design of Substrate Integrated Waveguide Filter Using Predistortion Technique
Bibliographic record
Abstract
Substrate Integrated Waveguide (SIW) has been demonstrated for the design of low-cost planar waveguide bandpass filters in the same process as planar circuits. However, SIW cavity resonator generally has a finite Qu of around 500 with most commonly used dielectric substrates, which rounds the passband edge and reduces the effective bandwidth of narrowband filter. In this paper, a K-band bandpass filter with 1 % relative bandwidth and resonators of Qu 500 is synthesized and designed by partial predistortion techniques. The predistorted filter is symmetrically realized by the SIW technology. An effective Qu of about 2500 is obtained and effective bandwidth of the filter is improved. The discrepancy between the actual Qu of SIW cavity resonator and the Qu used by predistortion, as well as the fabrication error lead to the difference between measurement and the simulation results.
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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 | 0.000 | 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".