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Record W1964621232 · doi:10.1109/tcsii.2012.2204116

A Phasor-Domain Study of Lock Range of Harmonic Oscillators With Multiple Injections

2012· article· en· W1964621232 on OpenAlexaff
Fei Yuan, Yushi Zhou

Bibliographic record

VenueIEEE Transactions on Circuits & Systems II Express Briefs · 2012
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsLock (firearm)PhasorHarmonicRange (aeronautics)Injection lockingDomain (mathematical analysis)IBM PC compatibleIBMTopology (electrical circuits)Electrical engineeringComputer scienceElectronic engineeringMathematicsPhysicsEngineeringAcousticsMathematical analysisOpticsQuantum mechanicsMechanical engineering

Abstract

fetched live from OpenAlex

This brief presents a phasor-domain study of the lock range of harmonic oscillators with multiple injections. The intrinsic relation between the lock range of harmonic oscillators with multiple injections and that with a single injection is obtained. We show that harmonic oscillators with multiple injections exhibit a larger lock range as compared with those with single injection if the phase of the injection signals is properly chosen. We further show that the maximum lock range provided by dual injections is twice that provided by a single injection. The findings are verified using$LC$oscillators with a single injection and dual injections designed in IBM 130-nm 1.2-V CMOS technology.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.217
Teacher spread0.197 · 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
Published2012
Admission routes1
Has abstractyes

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