Study of a new class of aperture-compensated microstrip low-pass and band-pass filters
Bibliographic record
Abstract
Theory and background -- Prototype lowpass filter -- Transmission line lowpass filter -- Admittance inverter and modified prototype filter -- Transmission line bandpass filter -- Purpose and content of this research work -- Aperture compensation technique : concept and characteristics -- Traditional microstrip Line (Ml) -- Aperture-compensated microstrip line (AC-Ml) -- Traditional parallel-coupled microstrip line (PCML) -- Aperture-compensated parallel-coupled microstrip line (AC-PCML) -- Aperture-compensated microstrip line (AC-ML) for desing of low-loss microstrip lowpass filter -- Layout and unified circuit model -- Unified circuit model of AC-ML structure -- Circuit model based synthesis and optimization -- Fullwave EM simulation -- Aperture-compensated parallel-coupled microstrip line (AC-PCML) for design of broadband microstrip bandpass filter -- Unified circuit model of a single AC-PCML structure -- Concepts and model -based design of prototype bandpass filter -- Fullwave characterization of prototype bandpass filter -- Concept and model-based design of improved bandpass filter -- Numerical & experimental investigation of improved bandpass filter.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".