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Record W2107886524 · doi:10.1109/iscas.1999.780647

A quadrature output voltage controlled ring oscillator based on three-stage sub-feedback loops

2003· article· en· W2107886524 on OpenAlexafffund
Lizhong Sun, T. Kwaśniewski, K. Iniewski

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsCarleton University
FundersNational Research Council CanadaInstituto de TelecomunicaçõesNational Science Council
KeywordsRing oscillatorDelay line oscillatorTopology (electrical circuits)TransconductanceVackář oscillatorFeedback loopVoltageVariable-frequency oscillatorCMOSPhysicsVoltage-controlled oscillatorControl theory (sociology)Electrical engineeringComputer scienceTransistorEngineeringOptoelectronics

Abstract

fetched live from OpenAlex

This paper presents a general ring oscillator circuit topology for high speed operation, multiphase output and wide range tuning. The topology uses sub-feedback inverters to construct a fast loop for long chain ring oscillator to achieve high speed. The operating frequency of the ring oscillator is directly proportional to the transconductance (G/sub m/) of sub-feedback inverters which can be controlled with an external voltage. Both single-ended and differential controlled voltage and inverter stages can be used. A quadrature output ring oscillator based on three-stage sub-feedback loops is designed and fabricated in a 0.5 /spl mu/m CMOS process for a 1.25 GHz clock recovery application. The circuit operates from 400 MHz up to 2 GHz, and consumes 3 mW at 1.25 GHz with 3.3 V power 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 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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 science0.0010.000
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 head0.012
GPT teacher head0.217
Teacher spread0.205 · 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

Citations33
Published2003
Admission routes2
Has abstractyes

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Same topicAdvancements in PLL and VCO TechnologiesFrench-language works237,207