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Record W2063366149 · doi:10.1145/1854153.1854159

A 5.4 GHz fully-integrated low-noise mixer

2010· article· en· W2063366149 on OpenAlexafffund
Stanley S. K. Ho, Carlos E. Saavedra

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNoise figureCMOSInductorElectrical engineeringNoise-figure meterSidebandNoise (video)Radio frequencyGilbert cellNoise temperatureFlicker noiseEffective input noise temperatureFrequency mixerElectronic mixerElectronic engineeringMaterials scienceEngineeringPhase noiseHarmonic mixerComputer scienceVoltageAmplifier

Abstract

fetched live from OpenAlex

A fully integrated CMOS low-noise mixing circuit operating at an RF frequency of 5.4 GHz is presented in this paper. The mixer is a Gilbert cell with a low-noise transconductor stage and a current-bleeding circuit. The transconductor, designed using the power constrained simultaneous noise and input match technique, together with the bleeding circuit enables the mixer to have a measured single-sideband noise figure of 7.8 dB and a power conversion gain of 13.1 dB. The output-referred 1-dB compression point, OP1dB, is -5 dBm and the output-referred IP3 is +6.9 dBm. All of the inductors are on-chip and the size of the mixer core is only 380 um x 350 um (0.133 mm2).

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.999

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.004
GPT teacher head0.180
Teacher spread0.176 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2010
Admission routes2
Has abstractyes

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