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Record W2551018949 · doi:10.1109/icsict.2016.7998847

A comparison between GaN and silicon based Class D audio power amplifiers with Pulse Density Modulation

2016· article· en· W2551018949 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAmplifierModulation (music)Power (physics)RF power amplifierMaterials scienceElectronic engineeringPower densityDistortion (music)Electrical engineeringOptoelectronicsComputer sciencePhysicsEngineeringAcousticsCMOS

Abstract

fetched live from OpenAlex

In recent years, GaN power HEMTs are gaining acceptance in power electronic applications. However, the implementation of Class D audio power amplifiers application using GaN power HEMTs has not been widely studied. This paper studies the performance of two open-loop 25 W Class D audio power amplifiers with GaN and silicon output stages using a Pulse Density Modulation (PDM) scheme. Comparisons of the amplifier performance include distortion, efficiency and thermal effects. The GaN based amplifier shows a 0.15% reduction in distortion and an increase in efficiency of 15% at output power levels of less than 20 W. However, the GaN power output stage exhibits some performance degradation as the temperature rises.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.579
Threshold uncertainty score0.565

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 integrity0.0000.000
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 head0.018
GPT teacher head0.244
Teacher spread0.226 · 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

Citations9
Published2016
Admission routes2
Has abstractyes

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