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Record W1568756610 · doi:10.1109/iscas.2006.1693513

A new area-efficient 4-PAM 10 Gb/s CMOS serial link transmitter

2006· article· en· W1568756610 on OpenAlexaff
Fei Yuan, Minghai Li

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTransmitterCMOSElectrical engineeringEmphasis (telecommunications)AmplifierMultiplexingElectronic engineeringSerial communicationInverterChannel (broadcasting)Computer scienceEngineeringPhysicsTelecommunicationsVoltage

Abstract

fetched live from OpenAlex

A new area efficient CMOS current-mode 4-PAM 10 Gb/s serial link transmitter is presented. The pre-emphasis of the proposed transmitter is realized by employing a delay block for each pre-emphasis tap such that the degree of each pre-emphasis tap can be tuned individually and independent of the current symbol. The multiplexing-at-input approach of the serializer ensures that the transistors of the multiplexing branches are minimum sized. A differential output current is obtained from a class AB pre-amplifier and a push-pull configured current-symbol driver and pre-emphasis drivers. The proposed transmitter minimizes the noise injected to the power and ground rails by drawing a constant current from the power supply and electromagnetic interference exerted from the channel to neighboring devices by conveying an output current of the same amplitude but opposite polarities to the channel. Implemented in a 1.2V 0.13/spl mu/m CMOS technology, the transmitter outputs a 3.5 mA peak-to-peak differential output current to the channel, consumes 19.2 mW DC power with inverter buffer chain. The current received at the far end of a 10-cm FR-4 cable has eye-width of 185 ps and eye-height of 1.21 mA.

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)0.000
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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.197
Teacher spread0.189 · 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
Published2006
Admission routes1
Has abstractyes

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Same topicAdvancements in PLL and VCO TechnologiesFrench-language works237,207