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Record W4403532010 · doi:10.14209/jcis.2024.17

Frequency Analysis of Pulse-Width Modulation on All-Digital Transmitters

2024· article· en· W4403532010 on OpenAlexafffund
Vinícius Figueira, Tiago O. Costalonga, Victor Fernandes, Jorge Virgilio de Almeida, Tadeu N. Ferreira, Vanessa P. R. Magri

Bibliographic record

VenueJournal of Communication and Information Systems · 2024
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsPolytechnique Montréal
FundersPolytechnique Montréal
KeywordsPulse-width modulationModulation (music)Pulse (music)Computer scienceTransmitterAcousticsTelecommunicationsPhysicsChannel (broadcasting)Power (physics)

Abstract

fetched live from OpenAlex

This work investigates the frequency spectrum in the modulator and up-conversion outputs of a generic all-digital transmitter architecture. Considering the modulator is implemented as a pulse-width modulation (PWM), it is verified that this up-conversion process introduces a series of impulses resembling the spectrum of a unipolar return-to-zero (RZ) waveform in addition to the PWM impulses. Simulations show the minimum bit resolution of PWM signals where the impulses introduced are almost unnoticed, thus their influence is not distinguished from random background noise. An all-digital transmitter is designed on a field-programmable gate array to verify it experimentally. Experimental results show that reducing power from PWM harmonics leads to a power increase in the RZ harmonics, and vice-versa. These harmonic’s power present an energy trade-off relation, a novelty demonstrated in this paper. Finally, but not least, it is observed that filtering the carrier wave out causes a considerable amount of power to be lost.

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: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.212

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.011
GPT teacher head0.226
Teacher spread0.215 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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