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Record W2099636456 · doi:10.1109/cicc.2011.6055362

A monolithic 3.125 Gbps fiber optic receiver front-end for POF applications in 65 nm CMOS

2011· article· en· W2099636456 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsTransimpedance amplifierCMOSFront and back endsGigabitDetectorRF front endElectrical engineeringAmplifierElectronic engineeringComputer scienceEngineeringOperational amplifierRadio frequency

Abstract

fetched live from OpenAlex

This paper describes the design of an analog receiver front-end targeting multi-gigabit data communications over large-core plastic optical fibers. A receiver front-end with an integrated photo detector has been implemented in a standard TSMC 65 nm low-power bulk-silicon CMOS process. A novel hybrid current buffer based transimpedance amplifier has been proposed to drive the 14 pF photo capacitance presented by the large-area photo detector to multi-gigahertz range. A digitally controlled slow-slope equalizer has also been integrated in the receiver front-end to compensate the high-frequency losses due to the integrated photo detector. The receiver front-end consumes 50 mW dc power from a 1.2 V supply (excluding output buffer) and achieves an NRZ data rate up to 3.125 Gbps.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
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)0.0020.000

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 head0.027
GPT teacher head0.222
Teacher spread0.195 · 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

Quick stats

Citations15
Published2011
Admission routes2
Has abstractyes

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