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Record W2143696453 · doi:10.1109/ccece.1998.682757

Dithering effect simulation for sigma-delta modulators with the presence of thermal noise

2002· article· en· W2143696453 on OpenAlexaff
Jiabao Dong, A. Opal

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsDitherDelta-sigma modulationElectronic engineeringComparatorNoise (video)Noise shapingCapacitorResistorComputer scienceDelta modulationSwitched capacitorEngineeringElectrical engineeringCMOSVoltage

Abstract

fetched live from OpenAlex

This paper presents an efficient and accurate method for computer simulation of the dithering effects in breaking up tone structures in analog oversampled sigma-delta modulators. The simulation is at macro-model level, where comparators, operational amplifiers, resistors, inductors, switches, capacitors and linear controlled sources are used as building blocks. The dithering effect simulation algorithm, as well as the thermal noise simulation algorithm, has been implemented in a computer program. It can be used to study dithering effects in switch-capacitor and continuous-time sigma-delta modulators, with or without the presence of thermal noise. Simulation examples of a switch-capacitor sigma-delta modulator and a continuous-time sigma-delta modulator are given.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.643
Threshold uncertainty score0.248

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 head0.012
GPT teacher head0.199
Teacher spread0.187 · 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

Citations6
Published2002
Admission routes1
Has abstractyes

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