Compact tri-band notched UWB bandpass filter based on interdigital hairpin finger structure
Bibliographic record
Abstract
In this paper, a novel compact tri-band notched UWB (Ultra-Wide-Band) bandpass filter is proposed. Based on the interdigital hairpin finger structure, three adjacent folded fingers are added at both sides for tri-band notched control. With this symmetrical structure, each notched band can be controlled by its corresponding pair of folded fingers independently. Without changing other rejected bands, by just changing the parameters of the corresponding pair of fingers, the specified notched band can be adjusted easily. To demonstrate our novel structure, a tri-band notched UWB bandpass filter is designed, fabricated and tested for harmonic control application. At rejected bands 6.42 GHz, 10.7 GHz and 14.98 GHz, the measured insertion loss is 15.7 dB, 31.7 dB and 30.1 dB, respectively. Simulated results are found in good agreement with measured results. The compact size of our proposed filter is 5.8 mm × 19.8 mm.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".