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Record W2155609347 · doi:10.1109/19.836332

Increasing the performance of arbitrary waveform generators using periodic sigma-delta modulated streams

2000· article· en· W2155609347 on OpenAlexaff
B. Dufort, Gordon W. Roberts

Bibliographic record

VenueIEEE Transactions on Instrumentation and Measurement · 2000
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsMcGill University
Fundersnot available
KeywordsWaveformDelta-sigma modulationSpurious relationshipElectronic engineeringNoise (video)Signal generatorCalibrationArbitrary waveform generatorSigmaComputer scienceElectrical engineeringEngineeringPhysicsVoltage

Abstract

fetched live from OpenAlex

This paper describes a new method to increase the performance of existing arbitrary waveform generators (AWGs). By encoding the digital words using sigma-delta (/spl Sigma//spl Delta/) techniques, it is possible to decrease the noise floor in a narrow band while keeping the same memory requirements. Calibration techniques to deal with the nonidealities of the AWG are also presented and verified experimentally. Improvements in spurious free dynamic ranges (SFDRs) of over 40 dB will be demonstrated with commercial test equipment.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.514

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 head0.025
GPT teacher head0.206
Teacher spread0.181 · 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 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

Citations16
Published2000
Admission routes1
Has abstractyes

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