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Record W2042606074 · doi:10.1109/icassp.2002.5745491

Design of local minimization in the noise spectrum of randomly switched DC/DC converters

2002· article· en· W2042606074 on OpenAlex
Jian Wang, R.L. Kirlin

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 International Conference on Acoustics Speech and Signal Processing · 2002
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Compatibility and Noise Suppression
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDuty cyclePulse-width modulationConvertersModulation (music)Noise (video)Power electronicsSpectral densityPower (physics)Computer scienceFrequency modulationMinificationElectronic engineeringPulse-frequency modulationDC biasControl theory (sociology)PhysicsVoltageElectrical engineeringEngineeringTelecommunicationsAmplitude modulationRadio frequencyAcoustics

Abstract

fetched live from OpenAlex

The problem of controlling the power spectral density (PSD) of random modulation techniques has attracted considerable interest recently in power electronics field. In this paper we analyze the PSD of DC/DC converter that uses randomized switching frequency pulse width modulation with constant duty cycle. We give a novel understanding for the peaks visible in the PSD. Based on the analysis we derive a reasonable means to null at a point or suppress the PSD over a band of specified frequencies. We also present the analysis of the limitation imposed by practical constraints on the range and mean of the switching frequencies. Simulation results verify our approach.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.754
Threshold uncertainty score0.417

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 head0.032
GPT teacher head0.247
Teacher spread0.214 · 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