MétaCan
Menu
Back to cohort
Record W2198935917 · doi:10.1109/lmwc.2015.2496790

Quasi-Elliptic Triple-Stopband Filter Based On Six Cross-Coupled SIW Resonators

2015· article· en· W2198935917 on OpenAlexaff
Mahbubeh Esmaeili, Jens Børnemann

Bibliographic record

VenueIEEE Microwave and Wireless Components Letters · 2015
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsStopbandResonatorElliptic filterBand-pass filterFilter (signal processing)PhysicsTopology (electrical circuits)Prototype filterElectronic engineeringLow-pass filterEngineeringElectrical engineeringOptoelectronics

Abstract

fetched live from OpenAlex

A new K-band triple-stopband filter in substrate integrated waveguide (SIW) technology is introduced. The filter consists of six rectangular cavities resonating in their fundamental TE101 mode. Main and cross couplings between resonators are used to design a filter with six transmission zeros, separating three stopbands and four passbands. A corresponding coupling matrix is presented. The initial filter covers an overall bandwidth of 4.50 GHz at center frequency of 19.50 GHz. The three stopbands are located at 17.6, 19.56, and 21.34 GHz with bandwidths of 0.92 GHz, 0.82 GHz, and 0.85 GHz, respectively. The two passbands located between the three stopbands have center frequencies of 18.70 and 20.56 GHz with corresponding bandwidths of 0.97 GHz and 0.88 GHz, respectively. The filter is prototyped and measured. Good agreement between simulated and measured results proves the reliability and robustness of the design method.

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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.022
GPT teacher head0.226
Teacher spread0.204 · 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

Citations7
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Microwave and Wireless Components LettersSame topicMicrowave Engineering and WaveguidesFrench-language works237,207