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Record W2149399437 · doi:10.1109/mwscas.2008.4616877

CMOS current-mode active transformer sigma-delta modulators

2008· article· en· W2149399437 on OpenAlexaff
Adrian Tang, Fei Yuan, E. Law

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsDelta-sigma modulationCMOSBluetoothBandwidth (computing)CadenceElectronic engineeringElectrical engineeringTransformerDynamic rangeEngineeringPhysicsVoltageWirelessTelecommunications

Abstract

fetched live from OpenAlex

This paper presents a new current-mode sigma-delta modulator for Bluetooth base-band applications. The modulator employs a current-mode ADC, a current-mode DAC, and a new active transformer loop filter to provide the desired noise shaping characteristics. The modulator provides the advantages of tunable filter bandwidth and an extremely small silicon area consumption. The modulator has been implemented in TSMCpsilas 0.18 mum 1.8V CMOS technology and analyzed using SpectreRF from Cadence Design Systems with BSIM3V3-RF device models. The simulation results have demonstrated that the modulator exhibits a SNR of 65 dB and a dynamic range of 50 dB at a sample rate of 500 M/s and a bandwidth of 5 MHz while occupying 0.0073 mm2silicon area.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.225
Teacher spread0.206 · 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 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

Citations2
Published2008
Admission routes1
Has abstractyes

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