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Record W2099286176 · doi:10.1109/newcas.2010.5603945

A novel 10 ps resolution TDC architecture implemented in a 130nm process FPGA

2010· article· en· W2099286176 on OpenAlex
Marc-André Daigneault, Jean‐Pierre David

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsField-programmable gate arrayComputer scienceProcess (computing)Resolution (logic)ArchitectureComputer hardwareEmbedded system

Abstract

fetched live from OpenAlex

This paper presents a novel high-resolution, high-precision time-to-digital converter (TDC) architecture targeting an FPGA implementation. The proposed architecture relies on multiple parallel tapped-delay lines, taking advantage of the fast dedicated carry-chains available within modern FPGAs. Moreover, the architecture presented in this work enables to overcome resolution limitation imposed by minimal delays, providing significant resolution enchancement over the widespread single tapped-delay line architecture. A TDC with 10 ps resolution and 24 ps precision has been implemented on a 130 nm fabrication process Virtex-II Pro FPGA. The results obtained using 10 parallel tapped-delay lines, each featuring ~27 ps resolutions, show that over 5× resolution enchancement factors can be obtained over a single tapped delay line architecture.

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.

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 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 score0.321
Threshold uncertainty score0.423

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 head0.010
GPT teacher head0.265
Teacher spread0.255 · 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

Quick stats

Citations37
Published2010
Admission routes1
Has abstractyes

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