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Record W1996346970 · doi:10.1109/wocc.2010.5510669

Parallel processing clock synchronization-dispersion equalization combining loop in 112Gb/s optical coherent receivers

2010· article· en· W1996346970 on OpenAlexfundno aff
Yangyang Fan, Xue Chen, Weiqin Zhou, Xian Zhou

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Network Technologies
Canadian institutionsnot available
FundersFonds de Recherche du Québec - Santé
KeywordsSynchronization (alternating current)Electronic engineeringComputer scienceClock synchronizationPhase-locked loopVoltage-controlled oscillatorSignal processingDigital signal processingSelf-clocking signalPolarization mode dispersionDetectorMultiplexingEqualization (audio)Clock signalSynchronous circuitElectrical engineeringComputer hardwareTelecommunicationsEngineeringPhase noiseVoltageJitter

Abstract

fetched live from OpenAlex

In optical coherent receivers, the timing error detector in synchronization loop can't detect timing errors properly from signals distorted by large dispersion and the signal processing rate in the loop is very difficult to reach required 56GHz in the 112 Gb/s PM-(D)QPSK system because of the limit of current electronic circuits. This paper proposes a novel parallel processing VCO clock synchronization loop in combination with dispersion equalization, which fulfills synchronization, equalization and polarization de-multiplexing simultaneously under the control of single VCO. Simulink simulation demonstrates the satisfied performance of the proposed parallel processing loop with 42 GHz sampling frequency and 466.67MHz digital signal processing rate.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.009
GPT teacher head0.228
Teacher spread0.218 · 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 designSimulation or modeling
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

Citations2
Published2010
Admission routes1
Has abstractyes

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