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Practical Design of Waveguide Filters with Quarter-Wavelength Resonators Implementing Transmission Zeros Using Frequency-Variant Couplings

2024· article· en· W4401110944 on OpenAlexaboutno aff
David Rubio, Santiago Cogollos, Vicente E. Boria, M. Guglielmi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsnot available
Fundersnot available
KeywordsResonatorTransmission (telecommunications)WavelengthWaveguideOptical filterOpticsWaveguide filterQuarter (Canadian coin)Band-pass filterElectronic engineeringOptoelectronicsComputer scienceFiltering theoryPhysicsFilter (signal processing)Materials sciencePrototype filterElectrical engineeringEngineeringTelecommunicationsLow-pass filter

Abstract

fetched live from OpenAlex

This article describes a new waveguide filter topology based on λg/4 resonators and frequency-variant couplings (FVCs) implemented with modified E-plane stubs. The combination of the new stubs with λg/4 resonators allows to increase the selectivity of the filter and to obtain, at the same time, a very compact structure. The new FVCs that we propose do not add complexity to the final structure, which remains an inline filter. A second-order prototype is designed, manufactured and measured as a validation example. The measured response of this filter matches remarkably well both the in-band and the out-of-band simulated responses, including the location of the transmission zeros (TZs).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.027
GPT teacher head0.263
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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