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Record W2026277783 · doi:10.1109/eumc.2005.1608888

A low-power CMOS class-E power amplifier for biotelemetry applications

2005· article· en· W2026277783 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

Venue2005 European Microwave Conference · 2005
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsMcMaster University
FundersKing Abdulaziz City for Science and TechnologyNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsAmplifierElectrical engineeringCMOSPower supply rejection ratioBiotelemetryVoltagePower (physics)Low-power electronicsElectronic engineeringLow voltagePower-added efficiencySwitched-mode power supplyEngineeringComputer scienceRF power amplifierTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

Designing efficient, fully integrated transceivers that could operate from very low supply voltages and for biomedical implantable electronic systems is a major challenge. This paper presents a fully integrated, 2.4 GHz class-E power amplifier (PA), with a class-F driver stage. The circuit was fabricated in a standard 0.18 /spl mu/m CMOS technology. Measurement results show a maximum drain efficiency of 38 % and a maximum gain of 17 dB. When operating from a 1.2 V supply, the PA delivers an output power of 9 mW with a power-added efficiency (PAE) of 33 %. The supply voltage can go down to 0.6 V with an output power of 2 mW and a PAE of 25 %. The circuit also has a second output to test the effects of using an on-chip filter in low-power designs. This work demonstrates the feasibility of using class-E PAs for short-range, low-power applications.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.941
Threshold uncertainty score1.000

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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 head0.016
GPT teacher head0.233
Teacher spread0.217 · 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