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Record W2073643414 · doi:10.1049/el.2013.1407

Dual‐band bandpass filter based on CPW series‐connected resonators

2013· article· en· W2073643414 on OpenAlexaff
Lamia Al-Khateeb, Ousama Abu Safia

Bibliographic record

VenueElectronics Letters · 2013
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversité du Québec en OutaouaisCégep de l'Outaouais
Fundersnot available
KeywordsBand-pass filterResonatorMulti-band deviceSeries (stratigraphy)Electronic engineeringDual (grammatical number)Prototype filterFilter (signal processing)Computer sciencePhysicsOptoelectronicsTelecommunicationsElectrical engineeringEngineeringLow-pass filter

Abstract

fetched live from OpenAlex

A new design of a three‐pole dual‐band bandpass filter using coplanar waveguide (CPW) series‐connected resonators and impedance inverters is proposed. The circuit conversions that lead to the lumped element model of the proposed filter are introduced. The resonators of the filter are implemented using special compact series‐connected resonators patterned in the centre conductor of a CPW transmission line. The filter operates at the two centre band frequencies 1.8 and 2.4 GHz. Hence, it is considered an excellent candidate for GSM/Wi‐Fi applications. Experimental results show very good agreement with simulated results, which validates the proposed filter.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
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 head0.004
GPT teacher head0.164
Teacher spread0.160 · 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

Citations8
Published2013
Admission routes1
Has abstractyes

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