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Record W2149885679 · doi:10.1109/icemi.2011.6037845

Performance investigation of a 1-bit periodic sigma delta phase-signal generator for mixed-signal embedded test

2011· article· en· W2149885679 on OpenAlexaff
Azhar Ahmed Chowdhury, Gordon W. Roberts

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsDelta-sigma modulationPhase-locked loopComputer scienceFilter (signal processing)SIGNAL (programming language)Signal generatorGenerator (circuit theory)Electronic engineeringNoise (video)Phase noiseEngineeringPhysicsPower (physics)TelecommunicationsBandwidth (computing)

Abstract

fetched live from OpenAlex

In this paper we present an implementation and performance investigation of a phase signal generator for use in mixed-signal embedded test. The generator consists of a circular 1×N-bit memory and a time-mode filter. The memory is loaded with a phase-modulated sigma-delta encoded bit stream generated in software. Due to its digital nature, the generator except for the time-mode filter is fully synthesizable using standard logic. A discrete prototype was constructed using off-the-shelf components at 50 MHz. It shown that the phase of the reference clock frequency can be shifted by approximately 45 degrees with a phase step of about 1 degree. The main limitation of this approach lies with the phase noise associated with the PLL making up time-mode filter.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.239
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 designNot applicable
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
Published2011
Admission routes1
Has abstractyes

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