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200-GS/s ADC Front-End Employing 25% Duty Cycle Quadrature Clock Generator

2021· article· en· W3208171517 on OpenAlexaff
Naftali Weiss, Gregory Cooke, Peter Schvan, P. Chevalier, Andreia Cathelin, Sorin P. Voinigescu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsCiena (Canada)University of Toronto
Fundersnot available
KeywordsDuty cycleClock generatorElectrical engineeringBandwidth (computing)Front and back endsBiCMOSPower consumptionQuadrature (astronomy)VoltagePhysicsElectronic engineeringEngineeringPower (physics)TelecommunicationsClock signalElectronic circuitTransistor

Abstract

fetched live from OpenAlex

A 55nm SiGe BiCMOS ADC front-end is reported with record 200-GS/s sampling rate and SNDR larger than 32 dB and 25.3 dB up to 45 GHz and 63 GHz, respectively. This performance is enabled by the architecture of the front-end with a single level of samplers which maximizes bandwidth and linearity, by the reduced-voltage MOS CML switch, and by a dc-to-62 GHz, 25% duty-cycle non-overlapping quadrature clock generator. The total power consumption of the ADC front-end is 635 mW.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.850
Threshold uncertainty score0.999

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)0.0020.001

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 head0.010
GPT teacher head0.196
Teacher spread0.186 · 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

Citations11
Published2021
Admission routes1
Has abstractyes

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