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Record W4248440692 · doi:10.1109/isscc.2000.839849

A differential 160 MHz self-terminating adaptive CMOS line driver

2002· article· en· W4248440692 on OpenAlexaff
R. Mahadevan, D. Johns

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Line Communications and Noise
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTransceiverCMOSElectrical engineeringBandwidth (computing)Electronic engineeringTopology (electrical circuits)Total harmonic distortionElectrical impedanceInput impedanceOutput impedanceComputer scienceVoltageEngineeringTelecommunications

Abstract

fetched live from OpenAlex

High-rate data communication over cable requires a line driver capable of providing the power gain necessary to transmit the modulated signal over the low characteristic impedance of the cable. For a fully-integrated transceiver, the line driver must be designed using CMOS technology. For best performance, a line driver must have a differential topology, no loss in the termination, a tunable output impedance and a voltage gain independent of process and load impedance variation. This topology is capable of driving 2 V/sub pp/ across 75 /spl Omega/ from a 3.3 V supply with <-47.5 dB total harmonic distortion and 160 MHz bandwidth. The target application is the full-duplex transmission of up to 622 Mb/s over 300 m of coax cable using a multilevel modulation scheme and hence a bandwidth requirement of 160 MHz.

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: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.020
GPT teacher head0.216
Teacher spread0.196 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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