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Record W1556121877 · doi:10.1109/ccece.2015.7129357

Low noise CMOS voltage-control oscillator design methodology with emphasis on non-linear effect contributions, 2.4 GHz CMOS design example

2015· article· en· W1556121877 on OpenAlexaff
Zhe Jiang, Haizheng Guo, T. Kwaśniewski

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsCarleton University
Fundersnot available
KeywordsVoltage-controlled oscillatorPhase noiseCMOSHarmonicsElectronic engineeringOffset (computer science)Electrical engineeringEngineeringComputer scienceVoltage

Abstract

fetched live from OpenAlex

This Paper demonstrates an attempt to link nonlinear (transient) oscillator behavior with phase noise. Phase noise generation is first studies, starting with examining Groszkowski's equation. After studying the mechanism, it is found that phase noise is determined by the transfer function and harmonics and based on which, a VCO design guideline is proposed to aid low phase noise VCO design. Then a novel VCO topology is proposed based on this guideline, aiming to reduce the harmonics and decrease the magnitude and the bandwidth of the transfer function. The circuit was designed and implemented in 0.13um IBM CMOS technology. The simulated performance at 2.4GHz was -133dBc/Hz at 1MHz offset with supply current of 3.07mA at 1V supply.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.941
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.059
GPT teacher head0.273
Teacher spread0.214 · 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.

Study designSimulation or modeling
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

Citations1
Published2015
Admission routes1
Has abstractyes

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