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Record W1983268951 · doi:10.1109/jssc.2012.2196732

A 1-1-1-1 MASH Delta-Sigma Modulator With Dynamic Comparator-Based OTAs

2012· article· en· W1983268951 on OpenAlexafffund
Kentaro Yamamoto, Anthony Chan Carusone

Bibliographic record

VenueIEEE Journal of Solid-State Circuits · 2012
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsUniversity of Toronto
FundersCMC Microsystems
KeywordsComparatorDelta-sigma modulationCMOSBandwidth (computing)Switched capacitorElectronic engineeringVoltageCapacitorElectrical engineeringControl reconfigurationPhysicsTopology (electrical circuits)Control theory (sociology)EngineeringComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

A dynamic comparator-based OTA is introduced as a replacement for a conventional OTA. It performs charge transfer in a switched-capacitor circuit by repeatedly evaluating the polarity of the differential input using a dynamic clocked comparator and injecting current pulses at the output to move the input voltage toward zero. The amplitude of the current pulse is reduced each time the input voltage crosses zero to provide fast but accurate settling of the output voltage. Dynamic comparator-based OTAs are applied to the design of a 1-1-1-1 MASH delta-sigma modulator. The 65-nm CMOS prototype achieves a 70.4 dB peak SNDR over a 2.5-MHz bandwidth while consuming 3.73 mW from a 1.2-V supply. The 276-fJ/conv-step FoM represents a four times improvement over previously-reported delta-sigma modulators using zero-crossing-based circuits or comparator-based switched capacitors. Because of the dynamic operation of the OTAs and discrete-time delta-sigma modulator architecture, both bandwidth and power consumption linearly scale with the sampling frequency without any reconfiguration of the modulator.

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)0.000
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.238
Teacher spread0.221 · 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

Citations41
Published2012
Admission routes2
Has abstractyes

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