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Record W2017417353 · doi:10.1109/icecs.2013.6815376

Highly-linear voltage-to-time converter (VTC) circuit for time-based analog-to-digital converters (T-ADCs)

2013· article· en· W2017417353 on OpenAlexfundno aff
Hassan Mostafa, Yehea Ismail

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaZewail City of Science and Technology
KeywordsConvertersElectronic engineeringCMOSLinearityComputer scienceVoltageAnalog-to-digital converterSuccessive approximation ADCSample and holdIntegrating ADCDigital-to-analog converterElectrical engineeringCapacitorBoost converterEngineeringBuck–boost converter

Abstract

fetched live from OpenAlex

Time-based ADC is an essential block in designing software radio receivers because it exhibits higher speed and lower power compared to the conventional ADC, especially, at scaled CMOS technologies. In time-based ADCs, the input voltage is first converted to a pulse delay time by using a Voltage-to-Time Converter (VTC) circuit, and then the pulse delay time is converted to a digital word by using a Time-to-Digital Converter (TDC) circuit. In this paper, a novel VTC circuit is proposed which achieves high linearity and large dynamic analog input range. This new VTC circuit can be used in a 5 bit time-based ADC with no sample and hold circuit for analog input frequencies up to 4 GHz.

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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.209
Teacher spread0.199 · 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

Citations37
Published2013
Admission routes1
Has abstractyes

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