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Record W2588833373 · doi:10.1109/lamc.2016.7851242

Broadband class-E power amplifier with high cold output impedance suitable for load modulated dual branch amplifiers

2016· article· en· W2588833373 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAmplifierBroadbandLinear amplifierElectrical engineeringPower bandwidthPower-added efficiencyRF power amplifierReflection coefficientCurrent sense amplifierBandwidth (computing)Electronic engineeringDoherty amplifierDirect-coupled amplifierComputer scienceEngineeringOperational amplifierTelecommunicationsCMOS

Abstract

fetched live from OpenAlex

The paper presents a design of a broadband high-efficiency class-E power amplifier (PA) for the advanced efficiency enhancement architectures applications. The design approach is based on presenting very high output reflection coefficient for a class E amplifier over broadband frequencies. An infinite reflection coefficient at load over the broadband frequency range enhances the application of class-E PAs as peaking amplifier in advanced efficiency enhancement architectures like Doherty, delta sigma etc. The proposed approach is validated using a Cree 6 W GaN prototype for a frequency band between 1.8-2.7 GHz. The prototype outputs more than 38 dBm output power with the drain efficiency higher than 55% over 40% of the fraction bandwidth. The drain voltage sweep of the fabricated PA shows that it can be also be employed in load modulated dual branch amplifiers and envelop tracking transmitter structures.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.872
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.010
GPT teacher head0.210
Teacher spread0.200 · 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

Quick stats

Citations6
Published2016
Admission routes1
Has abstractyes

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