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Record W2013078134 · doi:10.1109/smicnd.2007.4519689

Compact Load-Coupling Network for Microwave Current Mode Class-D Power Amplifiers

2007· article· en· W2013078134 on OpenAlexaff
Pouya Aflaki, Renato Negra, Fadhel M. Ghannouchi

Bibliographic record

VenueCAS proceedings · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAmplifierElectrical engineeringMaterials scienceRF power amplifierMicrowaveElectrical impedanceHigh-electron-mobility transistorPower-added efficiencyPower (physics)BalunOptoelectronicsElectronic engineeringEngineeringTransistorTelecommunicationsPhysicsVoltageAntenna (radio)

Abstract

fetched live from OpenAlex

This paper presents the design and implementation of a highly efficient current-mode class D (CMCD) power amplifier (PA) using a 2W GaN HEMT device. A switched-based model was developed in-house for the commercially available GaN power device and used extensively for the analysis and the design of the CMCD PA. The compact load coupling network, comprising a load transformation network, a higher harmonic impedance termination tank and a balun, used for the 1 GHz power amplifier measures only 37 mm times 76 mm while providing suitable means for tuning the performance of the amplifier. The fabricated CMCD PA achieves a drain efficiency of 65% for an output power of around 36 dBm with more than 7.4 dB of power gain at 1 GHz.

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.286
Teacher spread0.264 · 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
Published2007
Admission routes1
Has abstractyes

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