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Record W1830149700 · doi:10.1109/pesc.2006.1712244

A low-power DC-DC converter with digital spread spectrum for reduced EMI

2006· article· en· W1830149700 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEMIDuty cycleRipplePulse-width modulationElectronic engineeringInductorVoltageElectromagnetic interferenceElectrical engineeringDelta-sigma modulationBuck converterComputer sciencePhysicsEngineeringCMOS

Abstract

fetched live from OpenAlex

This paper presents a 1.8 V step-down DC-DC converter prototype with a hybrid delay-line based digital pulse-width modulator. A spread spectrum clock generation scheme is demonstrated for reducing EMI. The switching frequency of the buck converter prototype is automatically varied from 1.74 MHz to 2.84 MHz in 128 steps using a pseudo-random 512 cycle pattern, resulting in a 23 dB reduction in the conducted EMI peak. The digital pseudo-random pattern is converted to an analog reference voltage using a low-cost one-bit delta-sigma DAC having an over-sampling rate of 4096. The DAC output modulates the reference voltage of an LDO that regulates the delay-line supply voltage. It is shown that the effective duty-cycle changes by only 0.27 % over the frequency range. With spread spectrum mode enabled, the inductor current ripple becomes time-dependent but the efficiency degrades by less than 0.1%. The proposed architecture can be applied to a wide variety of state-of-the-art digital controllers that rely on delay-line based pulse width modulators.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.861
Threshold uncertainty score0.894

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 head0.003
GPT teacher head0.181
Teacher spread0.178 · 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

Quick stats

Citations35
Published2006
Admission routes2
Has abstractyes

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