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Record W2100799225 · doi:10.1109/ccece.2005.1557204

A 0.65V CMOS power amplifier for biotelemetry applications

2006· article· en· W2100799225 on OpenAlexafffund
Munir M. El‐Desouki, M. Jamal Deen, Yaser M. Haddara

Bibliographic record

Venuenot available
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
KeywordsElectrical engineeringCMOSAmplifierBiotelemetryLow-power electronicsVoltageElectronic engineeringPower (physics)Low voltageEngineeringPower consumptionTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

In order to reduce the power consumption in biomedical implantable electronic systems, there is a major demand on reducing the supply voltage. This paper presents a fully integrated, 650 MHz class-E power amplifier (PA), with a class-F driver stage that is suitable for low-voltage operation. The circuit was fabricated in a standard 0.18 mum CMOS technology. Measurement results show a maximum drain efficiency of 15% and a maximum gain of 11.5 dB. When operated from a 0.65 V supply, the PA delivers an output power of 750 muW with a maximum power-added efficiency (PAE) of 10%. 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.

How this classification was reachedexpand

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.793
Threshold uncertainty score0.598

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 head0.005
GPT teacher head0.212
Teacher spread0.206 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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
Published2006
Admission routes2
Has abstractyes

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