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Record W4382998703 · doi:10.1109/tcsii.2023.3291660

Broadband Two Stage Fixed-Impedance Power Divider/Combiner: Design Guidelines and Implementation

2023· article· en· W4382998703 on OpenAlexaff
Abdelkader Zerfaine, Ahmed Moulay, Tarek Djerafi

Bibliographic record

VenueIEEE Transactions on Circuits & Systems II Express Briefs · 2023
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsBroadbandPower dividers and directional couplersWilkinson power dividerImpedance matchingWidebandBandwidth (computing)Extremely high frequencyElectrical impedanceElectronic circuitFractional bandwidthElectronic engineeringCurrent dividerComputer scienceFootprintIsolation (microbiology)Electrical engineeringEngineeringTelecommunicationsFrequency dividerBand-pass filter

Abstract

fetched live from OpenAlex

This brief introduces a two-stage power divider/combiner (PDC) with fixed characteristic impedance. The guidelines for the designing parameters are portrayed graphically after performing an even-odd modes circuit analysis. Two versions of the circuit are proposed and prototyped using the presented guidelines, one with equally-armed isolation branches and the other with unequally-armed isolation branches. The measured results show a good matching with an isolation of 20 dB over the fractional bandwidth of 37% and 69% for the first and second versions, respectively. The new designs feature have a compact footprint that is comparable in size to conventional PDCs. The resulting circuits are simple, low-profile, and broadband PDC that is especially well-suited for use in the millimeter-wave range.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.039
GPT teacher head0.282
Teacher spread0.243 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations1
Published2023
Admission routes1
Has abstractyes

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