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Record W2123598984 · doi:10.1109/tcsii.2008.2001979

Analysis of the Flash ADC Bandwidth–Accuracy Tradeoff in Deep-Submicron CMOS Technologies

2008· article· en· W2123598984 on OpenAlexaff
Ayman Ismail, M.I. Elmasry

Bibliographic record

VenueIEEE Transactions on Circuits & Systems II Express Briefs · 2008
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsFlash ADCBandwidth (computing)Computer scienceInterpolation (computer graphics)Electronic engineeringCMOSFlash (photography)ScalingFigure of meritElectrical engineeringArtificial intelligenceMathematicsEngineeringTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

Efficient handling of the flash analog-to-digital converter (ADC) bandwidth-accuracy tradeoff is essential to minimizing its figure-of-merit. In this work, an expression that represents the bandwidth-accuracy tradeoff is devised, and the effect of technology scaling on this tradeoff is demonstrated. Based on the derived expression, the interpolating flash ADC is analyzed, and it is shown that the interpolating architecture attains a superior bandwidth-accuracy product compared with the full-flash architecture, especially in deep-submicron technologies. The gain in performance achieved when using interpolation is formulated and verified using simulations.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.740
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.199
Teacher spread0.183 · 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 designSimulation or modeling
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

Citations12
Published2008
Admission routes1
Has abstractyes

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