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Record W2150494964 · doi:10.1109/jstqe.2004.841467

A direct temporal domain approach for pulse-repetition rate multiplication with arbitrary envelope shaping

2005· article· en· W2150494964 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.

Bibliographic record

VenueIEEE Journal of Selected Topics in Quantum Electronics · 2005
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsMcGill University
Fundersnot available
KeywordsOpticsAmplitudePulse shapingPhysicsFilter (signal processing)Envelope (radar)Pulse-amplitude modulationPulse waveInterferometryImpulse responseBandwidth-limited pulseAmplitude modulationPulse (music)Optical filterComputer scienceLaserMathematicsFrequency modulationTelecommunicationsBandwidth (computing)Mathematical analysisUltrashort pulseDetector

Abstract

fetched live from OpenAlex

We present a direct temporal domain approach for pulse-repetition rate multiplication (PRRM) with envelope shaping using spectrally periodic optical filters. We show that the repetition rate of an input pulse train can be multiplied by a factor N using an optical filter with a free spectral range that does not need to constrained to an integer multiple of N. Individual output pulses in the newly generated pulse train have exactly the same intensity shape as those at the input. Furthermore, the amplitude of each individual output pulse can be manipulated separately to form an arbitrary envelope (profile) by optimizing N discrete values of the optical filter impulse response h(t). We demonstrate the direct temporal domain approach by designing a combined amplitude-and-phase filter based on a lattice-form Mach-Zehnder interferometer and simulation results show that PRRM with uniform and arbitrary profiles can be performed using these type of filters.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.818

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.228
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