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Record W2810569218 · doi:10.1109/lascas.2018.8399924

Sub-1 volt class AB amplifier with low noise, ultra low power, high-speed, using winner-take-all

2018· article· en· W2810569218 on OpenAlexfundno aff
Ali Far

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsnot available
FundersUniversity of British Columbia
KeywordsAmplifierNoise (video)Electrical engineeringComputer scienceElectronic engineeringPhysicsEngineeringArtificial intelligenceCMOS

Abstract

fetched live from OpenAlex

The proposed circuit utilizes a method to lower the output noise (Vonoise) of an amplifier by band-pass filtering it, while the amplifier's speed is increased by dynamically boosting its operating current when the amplifier's inputs (V <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IN</inf> ) receive a large transient signal. This amplifier uses a winner-take-all (WTA) circuit that detects un-equilibrium at V <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IN</inf> , upon which the amplifier's bias current and its dynamic response are boosted. The WTA has a symmetric structure and operates in current mode that enhances the amplifier's dynamic response during boost on and off conditions, and facilitates operations at low power supply voltage (V <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DD</inf> ). The boost signals that WTA initiates, feed a summing and floating current source (FCS) that also have a complementary and symmetric structure, which accommodates rail-to-rail (RR) dynamic biasing and improves V <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DD</inf> transient and noise rejection. Monte Carlo (MC) and worst case (WC) simulations are performed, indicating the following specifications as attainable: large-signal settling time (ts) ∼ 1μs, current consumption (I <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DD</inf> ) ∼ 85nA, V <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DD</inf> under 1 volt (V), V <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ONOISE</inf> at 1KHz ∼ 75μV/√Hz, gain (Av) ∼ 98dB, unity gain frequency (fu) ∼ 70kHz, phase margin (PM) ∼ 80 degrees, PSRR ∼ 115dB, CMRR ∼ 145dB. Amplifier rough area ∼ 45μm/side in 0.18μm CMOS.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.525
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.001

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 head0.012
GPT teacher head0.206
Teacher spread0.193 · 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 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
Published2018
Admission routes1
Has abstractyes

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