A Compact Microstrip Band-pass Filter for S/C-band Applications
Bibliographic record
Abstract
This paper presents a compact planar ultrawideband (UWB) band-pass filter (BPF). Initially, it employs a compact BPF with a reversible notched band to reject unwanted signals. The second phase entails determining and establishing the conventional microstrip feed’s input impedance at a fixed value of 50 ohms. Then, to eliminate the unwanted signal, a triangleshaped patch is etched from an L-shaped parallel linked transmission line. The bottom part of the BPF receives grounding. The BPF is designed, simulated, and fabricated in the laboratory. The measured fractional impedance bandwidth of 4.42 and 25.83%, minimum insertion loss of 1.40 and 0.32 dB, and minimum total loss of 15 and 8%, along with flat group delay at first and second resonant frequencies, respectively. Notably, BPF exhibits minimal loss, exceptionally low distortion, and acceptable speed. It demonstrates that the simulation and experimental results support the conclusions. The proposed BPF is suitable for S/C-band applications.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".