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Record W4241533654 · doi:10.1002/cta.546

T1/E1/J1 receiver in CMOS

2008· article· en· W4241533654 on OpenAlexaff
Robert Sobot, Haizheng Guo

Bibliographic record

VenueInternational Journal of Circuit Theory and Applications · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsWestern University
Fundersnot available
KeywordsCMOSChipSIGNAL (programming language)Power (physics)Electrical engineeringElectronic engineeringEngineeringRadio receiver designComputer sciencePhysics

Abstract

fetched live from OpenAlex

Abstract Behavioural model, simulation and testing results of a mixed‐signal short‐/long‐haul receiver suitable for high‐speed T1/E1/J1 application in CMOS are presented. The measured results demonstrate successful recovery of distorted incoming signals attenuated from 0 to 44 dB (max). The mixed‐signal part of the receiver chip occupies area of 1.2 mm × 1.8 mm in CMOS 0.35 µm process and requires typically 120 mW of power at 3.3 V power supply. Digital framer supports the operation of the receiver whereas local RAM is used for storing the unshielded twisted pair cable models that can be easily reprogrammed. Copyright © 2008 John Wiley & Sons, Ltd.

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: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.247
Teacher spread0.234 · 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
Published2008
Admission routes1
Has abstractyes

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Same venueInternational Journal of Circuit Theory and ApplicationsSame topicAdvancements in PLL and VCO TechnologiesFrench-language works237,207