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Record W2517094076 · doi:10.1109/iscas.2016.7527368

Time integrator for mixed-mode signal processing

2016· article· en· W2517094076 on OpenAlexaff
Young Jun Park, Durand Jarrett-Amor, Fei Yuan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvancements in PLL and VCO Technologies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsIntegratorPassive integrator circuitIntegrating ADCOp amp integratorCMOSJitterElectronic engineeringVoltageComputer scienceAdderRise timeElectrical engineeringEngineeringCapacitorOperational amplifierRC circuitAmplifier

Abstract

fetched live from OpenAlex

This paper presents a new time integrator for mixed-mode signal processing. The proposed time integrator consists of two time adders realized using a time-to-voltage and voltage-to-time conversion mechanism. All transistors of the proposed time integrator operate in an on/off mode, the time integrator is fully compatible with digital-oriented CMOS. The effect of nonidealities including charge injection, leakage, and jitter is examined in detail. The proposed time integrator has been designed in an IBM 130 nm 1.2V CMOS technology. Simulation results show that the time integrator provides a gain of 21 dB with a 317 kHz 30 ps peak-to-peak time input, and consumes 101.6 μW with 25 MHz sampling clock.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score0.182

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 head0.009
GPT teacher head0.247
Teacher spread0.238 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreMethods

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

Citations20
Published2016
Admission routes1
Has abstractyes

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