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Record W4401567635 · doi:10.1109/lmwt.2024.3439733

Quarter-Dual-Mode SIW and Microstrip Line Resonator Stabled Feedback Oscillator

2024· article· en· W4401567635 on OpenAlexaboutno aff
Xian‐Long Yang, Xiao‐Wei Zhu, Dong-Yi Huang

Bibliographic record

VenueIEEE Microwave and Wireless Technology Letters · 2024
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsMicrostripResonatorLine (geometry)Quarter (Canadian coin)Electrical engineeringPhysicsTelecommunicationsDual (grammatical number)AcousticsOptoelectronicsOpticsComputer scienceEngineeringMathematicsArtHistoryGeometry

Abstract

fetched live from OpenAlex

In this letter, a low-phase noise feedback oscillator based on a quarter-dual-mode (QDM) substrate-integrated waveguide (SIW) and microstrip line is proposed. By combining a QDM SIW resonator with a microstrip line, a third-order transmission response can be achieved without increasing the occupied area. Two transmission zeros (TZs) are generated at the upper passband to increase the group delay peak and an additional TZ at$2f_{0}$to suppress the second harmonic signal. The compact feedback-type oscillator using QDM SIW is designed, fabricated, and measured for the first time, which a circuit size is just about 930 mm2. The experimental results exhibit an output power of 0.22 dBm with a phase noise of −134.66 dBc/Hz at a 1-MHz frequency offset from the oscillation frequency. The oscillation frequency is 10.1 GHz and the corresponding suppression of the second harmonic signal is more than 52 dBc.

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 score0.002

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.204
Teacher spread0.199 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

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