MétaCan
Menu
Back to cohort
Record W2120264986 · doi:10.1109/bsc.2006.1644564

A Low Power 3.12Gbit/s/Channel Parallel Optical Receiver for Very Short Reach (VSR) Applications

2006· article· en· W2120264986 on OpenAlexaff
Wei Tang, David V. Plant

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsMcGill University
Fundersnot available
KeywordsTransimpedance amplifierCMOSCurrent-mode logicAmplifierElectrical engineeringDifferential amplifierElectronic engineeringComputer sciencePhysicsEngineeringTopology (electrical circuits)

Abstract

fetched live from OpenAlex

A truly-differential transimpedance amplifier (TIA) for optical receiver front-ends based on common-gate topology is fabricated and tested. -16 dBm sensitivity is achieved for this inductorless TIA at 3.125 Gbit/s while drawing 3.7 mA current from a 1.2 V power supply. The channel power consumption is 22 mW including an input buffer (IB), a limiting amplifier (LA), and a current-mode-logic (CML) output buffer with a 400 mV peak-to-peak differential output swing. We present a method to convert pseudo-differential signals into truly-differential signals by using AC coupling techniques. Also a new method of measuring cross-talk power penalty with an on-chip pseudo-random-bit-sequence (PRBS) generator is introduced. The circuits are implemented in the IBM CMRF8SF-DM 0.13-mum complementary-metal-oxide-semiconductor (CMOS) process

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.011
GPT teacher head0.215
Teacher spread0.204 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicRadio Frequency Integrated Circuit DesignFrench-language works237,207