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A Heterodyne Detection Based Photonic-assisted ADC Using Quantum Dash Mode-locked Laser

2024· article· en· W4404036672 on OpenAlexaff
Yuxuan Xie, Guo‐Cheng Liu, Jiaren Liu, Zhenguo Lü, Philip J. Poole, John Weber, Pedro Barrios, Mohamed Rahim, Lawrence R. Chen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Fiber Laser Technologies
Canadian institutionsNational Research Council CanadaMcGill University
Fundersnot available
KeywordsPhotonicsDashHeterodyne detectionHeterodyne (poetry)OptoelectronicsLaserMode (computer interface)PhysicsOpticsComputer science

Abstract

fetched live from OpenAlex

This paper presents a photonic analog-to-digital converter (ADC) tailored for RF and mmWave signals, featuring down-conversion to intermediate frequency (IF) to reduce bandwidth requirements for the photodetector (PD) and ADC sampling rate. Demonstrating an operational range of 18-32 GHz, including the 5G NR band, the system achieves a maximum effective number of bits (ENOB) of 11, limited by the performance of hardware. The ADC effectively detects various RF/mmWave communication signals with a 7.5 GHz PD and 12.5 GS/s sampling rate, showing potential for higher frequency applications and complex modulation formats in modern communication systems.

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 score0.398
Threshold uncertainty score0.794

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 head0.019
GPT teacher head0.286
Teacher spread0.266 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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