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Record W1596794782 · doi:10.1109/iscas.1998.704460

A two-loop third-order multistage ΔΣ frequency to digital converter

2002· article· en· W1596794782 on OpenAlexaff
T.A.D. Riley, Norm Filiol, M.A. Copeland, Calvin Plett

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsCarleton University
Fundersnot available
KeywordsPhase-locked loopDelta-sigma modulationQuantization (signal processing)PLL multibitNoise shapingElectronic engineeringConvertersFrequency synthesizerDemodulationControl theory (sociology)Phase noiseNoise (video)Computer scienceEngineeringElectrical engineeringCMOSAlgorithm

Abstract

fetched live from OpenAlex

This paper presents a /spl Delta//spl Sigma/ frequency to digital converter based on two /spl Delta//spl Sigma/ phase-locked loops (PLLs). A primary /spl Delta//spl Sigma/ PLL performs frequency discrimination with first order noise shaping while a secondary /spl Delta//spl Sigma/ PLL performs a second order noise shaped measurement of the quantization phase error introduced by the primary PLL. Then, as in multistage A/D converters, the two digital outputs are combined to produce a cancellation of the quantization error introduced by the primary PLL . This paper presents results from a hardware prototype following the above concept, built with discrete ECL components. Measured results indicate that the circuit could function as a highly linear FM demodulator from an IF frequency or alternatively could form part of a frequency synthesizer. The secondary /spl Delta//spl Sigma/ PLL which provides a noise shaped phase error to digital conversion appears to be new. Its application to frequency synthesis is also discussed.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

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 communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.015
GPT teacher head0.227
Teacher spread0.212 · 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 designBench or experimental
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

Citations5
Published2002
Admission routes1
Has abstractyes

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