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Record W2093060924 · doi:10.1109/sbcci.2013.6644886

A 14b threshold configurable dynamically latched comparator for SAR ADCs

2013· article· en· W2093060924 on OpenAlexaff
Tony Forzley, R. Mason

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsCarleton University
Fundersnot available
KeywordsComparatorOffset (computer science)CMOSBandlimitingElectronic engineeringComputer scienceVoltageDynamic rangeElectrical engineeringPhysicsEngineering

Abstract

fetched live from OpenAlex

This paper presents a dynamically latched threshold configurable comparator to eliminate the DAC in conventional SAR ADC designs. The comparator uses intentional circuit asymmetry to generate precise threshold or offset voltages. Four offset stages with resolutions of 15.5 μV, 316 μV, 7.9 mV and 29.85 mV are superimposed to yield a 282.6 mVpptuning range. The high resolution is obtained by exploiting submicron deviations in device dimensions. The comparator has been designed and tested in 0.13 μm digital CMOS. DC measurements yield 14 bit resolution with 0.38 INL and 0.41 DNL. AC measurements at 6.25 MHz correlate well with the DC measurements. Noise is bandlimited to allow for sampling up to 50 MHz.

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 score0.005
Threshold uncertainty score0.017

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)0.0050.001

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 head0.013
GPT teacher head0.202
Teacher spread0.188 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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