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Record W2119983309 · doi:10.1109/newcas.2005.1496678

A 1 V Low-Power Low-Noise DTMOS Based-Class AB Opamp

2005· article· en· W2119983309 on OpenAlexafffund
Hervé Facpong Achigui, Christian Fayomi, Mohamad Sawan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOperational amplifierCMOSPMOS logicLow voltageElectrical engineeringTransistorPhysicsElectronic engineeringLow-power electronicsComputer scienceAmplifierPower (physics)VoltagePower consumptionEngineering

Abstract

fetched live from OpenAlex

In this paper, the authors described a novel class AB opamp based on dynamic threshold voltage transistors (DTMOS) for low voltage (1-V), low power and low noise applications. The opamp is used to build the front-end receiver part of a near infrared spectroreflectometry (NIRS) device. The opamp has a two-stage configuration; DTMOS pseudo pMOS differential input pairs are used for input common-mode range enhancement, followed by a single ended class AB output. Experimental measurements from previous designs confirm the usage of a DTMOS device to build a 1-V opamp, using standard 0.18-/spl mu/m CMOS technology. The performed post-layout simulation results show an input referred noise of 107 nV//spl radic/Hz at 1 kHz, and a power consumption of 33.1 /spl mu/W under 5 pF and 10 k/spl Omega/ loads. The dc open loop gain is 60 dB, and a unity frequency of 2.73 MHz. The opamp has a CMRR of 100 dB, and input and output swings of 0.6 V and 0.8 V respectively.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score0.998

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)0.0030.002

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 head0.006
GPT teacher head0.188
Teacher spread0.181 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations8
Published2005
Admission routes2
Has abstractyes

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