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Record W2159645202 · doi:10.1109/mwscas.2007.4488634

Frequency of oscillation of a cross-coupled CMOS VCO with resistor tail biasing

2007· article· en· W2159645202 on OpenAlexaff
Sinisa Milicevic, Leonard MacEachern

Bibliographic record

VenueConference proceedings · 2007
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsCarleton University
Fundersnot available
KeywordsVoltage-controlled oscillatorPhase noiseCMOSdBcFigure of meritResistorOscillation (cell signaling)Electrical engineeringFrequency offsetAmplitudePhysicsOffset (computer science)OptoelectronicsVoltageMaterials scienceEngineeringComputer scienceOpticsChemistry

Abstract

fetched live from OpenAlex

This paper presents a formula for predicting the frequency of oscillation of a cross-coupled voltage-controlled oscillator (VCO). The VCO was implemented in a CMOS 0.13 mum technology. The calculated frequency of operation shows a close agreement with the simulated results. The VCO operates at 10 GHz and consumes 490 muW from a IV supply. The simulated phase noise at a 1 MHz offset is -114.4 dBc/Hz resulting in a figure of merit (FOM) of -197.6 dB. The VCO can cover a 748 MHz frequency range and occupies 0.096 mm2of chip area. The simulated sensitivity of the frequency of operation and peak-to-peak amplitude due to temperature is 4.58 MHz/degC and 3.6 mV/degC, respectively. The sensitivity of the frequency of operation and peak-to-peak amplitude due to power supply is 1.1 GHz/V and 1.82 V/V, respectively.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.024
GPT teacher head0.247
Teacher spread0.223 · 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

Citations4
Published2007
Admission routes1
Has abstractyes

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