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Record W2169492461 · doi:10.1109/cicc.1999.777308

RF simulations and physics of the channel noise parameters within MOS transistors

2003· article· en· W2169492461 on OpenAlexaff
T. Manku, M.S. Obrecht, Yung-Jen Lin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsNoise (video)TransistorFlicker noiseNoise temperatureChannel (broadcasting)Noise generatorCMOSElectrical engineeringElectronic engineeringNoise measurementNoise figureBurst noiseComputer sciencePhysicsOptoelectronicsPhase noiseEngineeringAcousticsNoise reductionVoltageAmplifier

Abstract

fetched live from OpenAlex

In this paper we report results for the RF channel noise parameters of MOS transistors. Our hope is that these results will provide RF CMOS circuit designers with a better understanding of the noise properties of a MOS device. The results were obtained from a physically based 2-D device noise simulator. The simulator inherently takes into account the microwave noise sources within the transistor. The drain channel noise as well as the induced gate noise are presented. The results show that drain channel noise is strongly influenced by short channel effects whereas induced gate noise is not. Furthermore, the excess noise in the channel due to hot electrons near the drain was determined to be less important than normally thought.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.198
Teacher spread0.179 · 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 designSimulation or modeling
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

Citations15
Published2003
Admission routes1
Has abstractyes

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