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Record W2120829985 · doi:10.1109/tmtt.2010.2042631

Broadband Compact 180$^{\circ}$ Hybrid Derived From the Wilkinson Divider

2010· article· en· W2120829985 on OpenAlexaff
Ning Yang, Christophe Caloz, Ke Wu

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2010
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsWilkinson power dividerPower dividers and directional couplersBroadbandElectrical impedanceBandwidth (computing)ResistorPort (circuit theory)Electrical engineeringPhysicsElectric power transmissionTopology (electrical circuits)TelecommunicationsEngineeringFrequency dividerOpticsVoltage

Abstract

fetched live from OpenAlex

A novel 180° hybrid is proposed. This hybrid is derived from the Wilkinson divider, where the resistor is simply replaced by a fourth port of equal characteristic impedance, which acts as the ¿ port of the hybrid, while the input port of the original Wilkinson divider acts as the ¿ port. Due to this structure, including only two quarter-wavelength transmission lines, this hybrid has a greatly reduced size compared with the conventional hybrid rat-race and miniaturized variants of it. Furthermore, it exhibits a significantly improved bandwidth. The measured 0.5-dB insertion loss bandwidth is over 200% for ¿ power division and 66% for ¿ power division (with 50-¿ load). Due to its perfectly symmetric configuration, the proposed hybrid features frequency-independent power-dividing balance performance. The 0.5-dB amplitude imbalance for both the ¿ and ¿ port divisions has essentially unlimited bandwidth, and the measured phase imbalance is within 3 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">°</sup> over all frequencies. The proposed hybrid also shows excellent ¿ - ¿ port isolation with a measured result exceeding 30 dB over all frequencies.

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 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 score0.517
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 integrity0.0000.001
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 head0.007
GPT teacher head0.209
Teacher spread0.202 · 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 teacher head, not a consensus.

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

Citations23
Published2010
Admission routes1
Has abstractyes

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