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Record W2001048530 · doi:10.1109/mwscas.2006.382039

A New CMOS Current Integrating Receiver For GByte/s Parallel Links

2006· article· en· W2001048530 on OpenAlexaff
Tao Wang, Fei Yuan

Bibliographic record

Venue2006 49th IEEE International Midwest Symposium on Circuits and Systems · 2006
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTransimpedance amplifierCMOSElectronic engineeringComputer scienceCadenceElectrical engineeringCurrent-feedback operational amplifierAmplifierImpedance matchingElectrical impedanceSense amplifierInductorDifferential amplifierVoltageEngineering

Abstract

fetched live from OpenAlex

A new fully differential current-integrating receiver for high-speed parallel links is proposed. The receiver consists of a transimpedance front-end stage and a sense amplifier-latch stage. The transimpedance front-end stage provides a low and tunable matching impedance to the channels. The sense amplifier with self-biased shunt-peaking active inductors significantly decreases the setup-hold of the sense amplifier and enables it to be used for high-speed application. The proposed receiver has been implemented in UMC 0.13μm, 1.2V CMOS technology and analyzed using Spectre from Cadence Design Systems with BSIM3.3V device models. Simulation results have confirmed that the proposed current-integrating receiver provides full output voltage swing when the data rate is 2.5 Gbyte/s.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score1.000

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)0.0000.000

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 head0.024
GPT teacher head0.249
Teacher spread0.225 · 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 teacher head, not a consensus.

Study designNot applicable
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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