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Record W2132250263 · doi:10.1109/leos.2006.279211

Optical Generation and Distribution of UWB Signals

2006· article· en· W2132250263 on OpenAlexaff
Fei Zeng, Jianping Yao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUltra-Wideband Communications Technology
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDiscriminatorOpticsFiber Bragg gratingPhase modulationModulation (music)PhysicsOptical filterIntensity modulationBand-pass filterOptical modulation amplitudeAmplitude modulationPulse-width modulationOptical fiberLaserFrequency modulationOptical amplifierComputer scienceTelecommunicationsBandwidth (computing)Phase noiseAcousticsPower (physics)

Abstract

fetched live from OpenAlex

In this paper, we present two different approaches to generating and distributing UWB pulse signals in the optical domain based on optical phase modulation. In the first approach, the combination of the EOPM and the SMF link forms an all-optical microwave bandpass filter that can be designed to shape the input Gaussian pulses into UWB doublet pulses that meet the UWB spectral requirement. In the second approach, optical pulses can be generated by a Q-switched or a mode-locked laser. The phase modulation to intensity modulation (PM-IM) conversion is achieved by use of a fiber Bragg grating (FBG) that serves as a frequency discriminator. By locating the phase-modulated optical carrier at the linear slope or the quadrature slope of the FBG reflection spectrum, monocycle or doublet pulses can be obtained at the output of the PD. The experimental measurements are shown which have good agreement with the theoretical analysis

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.118

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 head0.008
GPT teacher head0.195
Teacher spread0.187 · 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 designBench or experimental
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

Citations9
Published2006
Admission routes1
Has abstractyes

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