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Record W2545930358 · doi:10.1109/icm-02.2002.1161503

An original buffer circuit for medium power and medium frequency operation

2004· article· en· W2545930358 on OpenAlexaff
A. Rekiouak, Mounir Boukadoum, Marie J. Bouchard

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsBuffer amplifierElectrical impedanceOutput impedanceBuffer (optical fiber)Impedance matchingTransistorFrequency responseEquivalent circuitBandwidth (computing)Frequency bandPower (physics)Computer scienceElectrical engineeringElectronic engineeringVoltageEngineeringPhysicsTelecommunications

Abstract

fetched live from OpenAlex

We present an output stage buffer circuit that can serve as a near optimal impedance converter with no signal distortion or loss, over a wide range of input and output resistances and a relatively large frequency band. The buffer circuit exhibited the following characteristics: a high input impedance; a high current sourcing capability due to a low output resistance; a minimal quiescent current; a good stability; a flat frequency response over a relatively wide range; an improved response with a flexible block design regardless of the power level and of the frequency within the bandwidth of application. As a result, the circuit behaves as a optimal isolation buffer from dc to some high frequency value imposed by the transition frequency of the transistors used and the number of elementary cells in the buffer circuit, thus allowing the design of independent functional stages within the power circuit of the system at hand.

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 score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.014
GPT teacher head0.231
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

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

Citations0
Published2004
Admission routes1
Has abstractyes

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