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Record W2100059374 · doi:10.1002/mop.26667

Hybrid envelope tracking for efficiency enhancement in concurrent dual‐band PAs

2012· article· en· W2100059374 on OpenAlexafffund
Wenhua Chen, Andrew Kwan, Fadhel M. Ghannouchi

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2012
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsBasebandMulti-band deviceElectronic engineeringAmplifierMicrowaveEnvelope (radar)Tracking (education)Power (physics)Scheme (mathematics)Dual (grammatical number)Computer scienceElectrical engineeringEngineeringPhysicsTelecommunicationsCMOSMathematics

Abstract

fetched live from OpenAlex

Abstract A hybrid envelope tracking scheme is proposed for concurrent dual‐band power amplifiers (PAs). Ideal power supply sweeping measurement shows this scheme can improve the efficiency of dual‐band PAs effectively. The feasibility of this scheme is validated using baseband and analog co‐simulation with real large signal circuit models. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:662–664, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26667

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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
GPT teacher head0.240
Teacher spread0.223 · 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

Citations2
Published2012
Admission routes2
Has abstractyes

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