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Record W2979634977 · doi:10.1049/iet-cds.2019.0108

Time‐based all‐digital time‐to‐digital converter with pre‐skewed bi‐directional gated delay line time integrator

2019· article· en· W2979634977 on OpenAlexafffund
Fei Yuan, Parth Parekh

Bibliographic record

VenueIET Circuits Devices & Systems · 2019
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsIntegratorTime-to-digital converterSkewDigital delay lineElectronic engineeringCMOSPropagation delayCadenceComputer scienceIntegrating ADCDelay calculationEngineeringJitterElectrical engineeringVoltageCapacitorTelecommunicationsDigital signalDigital signal processing

Abstract

fetched live from OpenAlex

An all‐digital first‐order single‐bit time‐to‐digital converter (TDC) with a pre‐skewed bi‐directional gated delay line (PS‐BDGDL) time integrator with built‐in self‐quantisation is presented in this study. Pre‐skewing is utilised to lower the per‐stage delay of the BDGDL and minimise the skew errors of BDGDLs. The impact of the strength and timing of pre‐skewed is analysed. The reduction of skew errors obtained from pre‐skewing is also analysed. A design methodology combating the impact of process uncertainty on the TDC is developed. The TDC is designed in an IBM 130 nm 1.2 V CMOS technology and analysed using Spectre from Cadence Design Systems with BSIM4 device models. Simulation results show that the impact of process spread on the performance of the TDC can be minimised by adjusting the delay of the key delay blocks and the per‐stage delay of the gated delay stages. The figure‐of‐merit of the TDC outperforms reported TDCs alike.

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.007
GPT teacher head0.204
Teacher spread0.197 · 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

Citations15
Published2019
Admission routes2
Has abstractyes

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Same venueIET Circuits Devices & SystemsSame topicAdvancements in PLL and VCO TechnologiesFrench-language works237,207