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Record W2138523705 · doi:10.1109/tcsi.2008.2008284

Phase Noise of a Class of Ring Oscillators Having Unsaturated Outputs With Focus on Cycle-to-Cycle Correlation

2008· article· en· W2138523705 on OpenAlexaff
Bosco Leung, D. L. McLeish

Bibliographic record

VenueIEEE Transactions on Circuits and Systems I Regular Papers · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsdBcPhase noiseJitterNoise (video)Ring (chemistry)Power (physics)Autoregressive modelFocus (optics)Electronic engineeringControl theory (sociology)Computer sciencePhysicsMathematicsEngineeringStatisticsOptics

Abstract

fetched live from OpenAlex

This paper presents new theoretical results on the phase noise of a class of unsaturated ring oscillators. These new results focus on cycle-to-cycle correlation as a source of timing jitter and highlight its importance in contributing to the phase noise of these unsaturated ring oscillators. Because the outputs of saturated ring oscillators always reach the power supply, such cycle-to-cycle correlation is not present there. This paper presents an in-depth treatment of the two-stage implementation of these unsaturated ring oscillators. It is shown that the timing jitter of each quarter period of this implementation follows an autoregressive process. The results also include a closed-form solution for the power spectral density of the phase noise in terms of circuit parameters such as transistor sizing and bias currents, thus providing new design insights. Using this solution, this paper shows that, under a proper choice of circuit parameters, the phase noise can improve by up to 20 dBc/Hz. Simulations which verify the dependence of timing jitter on cycle-to-cycle correlation and also the 20-dBc/Hz improvement are performed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.688

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.219
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 teacher head, 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

Citations18
Published2008
Admission routes1
Has abstractyes

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