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Record W2139912191 · doi:10.1109/tpel.2007.901911

An EMI Reduction Technique for Digitally Controlled SMPS

2007· article· en· W2139912191 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2007
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Noise Suppression
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEMIElectromagnetic interferenceRing oscillatorElectronic engineeringBuck converterDigital controlReduction (mathematics)Switched-mode power supplyPulse-width modulationElectrical engineeringConducted electromagnetic interferencePower (physics)EngineeringPulse-frequency modulationVoltagePulse (music)Physics

Abstract

fetched live from OpenAlex

A spread spectrum technique and system for reducing average electromagnetic interference (EMI) in low-power digitally controlled dc-dc switch-mode power supplies (SMPS) are introduced. The technique utilizes very simple hardware, where the switching frequency of a SMPS is dynamically varied over a controlled range. This is achieved by changing the supply voltage of a ring-oscillator based digital pulse-width modulator in a pseudo-random fashion, through 128 discrete steps. The change is performed with a 1-b DeltaSigma digital-to-analog converter. Compensator design guidelines for this variable frequency system are provided for obtaining good dynamic response. The technique was tested with a 500-mW, 1.8-V buck converter prototype, whose switching frequency was varied from 1.74 to 2.84 MHz. A reduction of 23 dB in the conducted EMI with an efficiency degradation of less than 0.1 % was obtained, compared to fixed frequency operation.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.809
Threshold uncertainty score0.969

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 head0.006
GPT teacher head0.237
Teacher spread0.232 · 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