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Record W2054894687 · doi:10.1002/9781394205318.ch7

Photonic Generation of Microwave Arbitrary Waveforms

2024· other· en· W2054894687 on OpenAlexaff
Jianping Yao

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPulse shapingWaveformMicrowavePhotonicsComputer sciencePulse (music)Emphasis (telecommunications)PhysicsElectronic engineeringOpticsTelecommunicationsEngineeringRadarLaser

Abstract

fetched live from OpenAlex

Microwave arbitrary waveforms are widely used in radar, communications, medical imaging, and modern instrumentation systems. Microwave arbitrary waveforms are usually generated electrically using digital electronics. This chapter reviews techniques to use fiber-optic devices to implement arbitrary microwave waveform generation. It discusses four different techniques: direct space-to-time pulse shaping; spectral-shaping and wavelength-to-time mapping; temporal pulse shaping; and microwave pulse generation based on photonic microwave delay-line filters. The advantages of these techniques compared with free-space-optics-based solutions include simplicity, low cost, and small size. The chapter describes the use of the techniques to generate frequency-chirped and phase-coded microwave waveforms. Arbitrary waveform generation can be realized based on direct space-to-time mapping in which an arbitrary optical pulse sequence is generated in the optical domain and then applied to a high-speed optical-to-electrical converter to generate a microwave waveform. The chapter also discusses the challenges in the implementation of the systems for practical applications.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.999

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)0.0020.001

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 head0.024
GPT teacher head0.244
Teacher spread0.220 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2024
Admission routes1
Has abstractyes

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