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Record W2896100615 · doi:10.1109/tmtt.2018.2856259

Wideband Filtering Unbalanced-to-Balanced Independent Impedance-Transforming Power Divider With Arbitrary Power Ratio

2018· article· en· W2896100615 on OpenAlex
Yongle Wu, Zheng Zhuang, Mengdan Kong, Lingxiao Jiao, Yuanan Liu, Ahmed A. Kishk

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2018
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsConcordia University
FundersBeijing University of Posts and TelecommunicationsNational Natural Science Foundation of China
KeywordsWidebandBandwidth (computing)Power dividers and directional couplersElectrical impedanceCenter frequencyFrequency dividerElectronic engineeringEquivalent circuitMathematicsEngineeringTopology (electrical circuits)Control theory (sociology)Computer scienceElectrical engineeringBand-pass filterTelecommunicationsVoltage

Abstract

fetched live from OpenAlex

In this paper, a novel wideband filtering unbalanced-to-balanced power divider is proposed. A generalized circuit model for arbitrary power ratio and independent impedance-transforming function is constructed based on the modified even-/odd-mode analysis. Thus, closed-form analytical equations and complete design procedures are provided. Furthermore, the introduced open-circuited stubs are loaded at the output ports to improve the frequency selectivity. Finally, two 2:1 unequal designed prototypes with the 10-dB relative bandwidth of 52% and 65% at the center frequency of 2 GHz are fabricated and measured. A good agreement between electromagnetic simulation and measured results is observed, which demonstrates the validity of the proposed design method and the circuit model.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.681
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.005
GPT teacher head0.213
Teacher spread0.208 · 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