Reconfigurable Filter Design Using Novel Resonators
Bibliographic record
Abstract
The structure proposed in this study is basically a meander-shaped resonator structure.By changing certain parameters determined on this structure, the filtering characteristics can be adjusted.For instance, the bandpass filtering characteristic can be adjusted as elliptical or linear phase by means of adjustments made in the value of the capacitor added to the structure.The effects of coupling and perturbation level on the frequency response in the proposed structure are also investigated.If the coupling level is not sufficient, the filter does not respond.In the proposed filter structure, the filtering characteristic can be adjusted by changing the capacity value.The structure can be reconfigurable with the adjustments made on the main transmission line of the structure, allowing the transition of the structure from the band-pass filtering characteristic to the band-stop filtering characteristic.Moreover, by increasing the capacity value the frequency response can be also switched from single mode to dual mode.The simulations in this study were performed with the help of SONNET SOFTWARE, a full-wave EM (Electro-Magnetic) simulator package program.Theoretical analysis of the proposed filter performed by obtaining the equivalent circuit model of the proposed structure.Scattering and ABCD matrix of the proposed structure are also extracted to clarify the filter topology.A reconfigurable microwave filter is designed, simulated and analysed theoretically.It should be noted that, simulation results and theoretically obtained results are in a very good agreement with the predicted 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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".