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Record W2121353829 · doi:10.1109/mwp.2010.5664161

A frequency shift keying transmitter based on incoherent frequency-to-time mapping for free-space optical communications

2010· article· en· W2121353829 on OpenAlexaff
Hongqian Mu, Haiyun Xia, Jianping Yao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsFrequency-shift keyingTransmitterOptical filterFree spectral rangeSIGNAL (programming language)KeyingModulation (music)Frequency modulationComputer scienceFilter (signal processing)OpticsTelecommunicationsPhysicsElectronic engineeringRadio frequencyDemodulationAcousticsEngineeringLaser

Abstract

fetched live from OpenAlex

A novel frequency shift keying (FSK) transmitter for free-space optical communications based on incoherent frequency-to-time mapping is proposed and demonstrated. In the proposed system, an incoherent broadband optical source is spectrally shaped by an optical filter that has a sinusoidal frequency response and a tunable free spectral range (FSR), and then modulated at a temporal gate. The temporally gated optical signal is sent to a dispersive device to realize frequency-to-time mapping. By switching the FSR of the optical tunable filter that is controlled by a data sequence, a temporal sinusoidal signal with FSK modulation is thus generated after frequency-to-time mapping. The proposed transmitter is experimentally demonstrated. An FSK signal at a bit rate of 700 Mbits/s is experimentally generated.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.256
Teacher spread0.237 · 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 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

Citations6
Published2010
Admission routes1
Has abstractyes

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