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Record W1497645385 · doi:10.1002/9781118684207.ch4

Optical Modulators and Modulation Schemes

2014· other· en· W1497645385 on OpenAlexaff
M. Jamal Deen

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsQuadrature amplitude modulationPulse-amplitude modulationModulation (music)Analog transmissionBandwidth (computing)QAMElectronic engineeringComputer scienceAmplitude-shift keyingAmplitude modulationPulse-density modulationLine codeOptical modulation amplitudeAsk priceTelecommunicationsTransmission (telecommunications)Phase-shift keyingPhysicsFrequency modulationOpticsPulse (music)Optical amplifierEngineeringBasebandAnalog signalBit error rateAcousticsDecoding methodsLaser

Abstract

fetched live from OpenAlex

This chapter reviews the various line coders, pulse shapes, and digital modulation schemes. An expression for the power spectral density (PSD) of various line coders is derived. The chapter then deals with different types of optical modulators and generation of modulated signals using optical modulators. The benefit of adding a controlled amount of ISI is also discussed. Next, the chapter considers multi-level signaling, which enables higher transmission data rates without having to increase the bandwidth. Finally, the chapter discusses the following multi-level formats: (i) M-ASK, (ii) M-PSK, and (iii) quadrature amplitude modulation (QAM).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.007

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 head0.004
GPT teacher head0.181
Teacher spread0.177 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations1
Published2014
Admission routes1
Has abstractyes

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