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Record W2763519419 · doi:10.1109/mwsym.2017.8059062

A 0.6–2.8GHz CMOS RF vector multiplier with low RMS magnitude and phase errors and high P1dB

2017· article· en· W2763519419 on OpenAlex
Yiling Xu, Jingjing Xia, Slim Boumaiza

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAmplifierCMOSAmplitudeLinearityBandwidth (computing)PhysicsVideo Graphics ArrayMultiplier (economics)Electronic engineeringElectrical engineeringComputer scienceEngineeringOptoelectronicsTelecommunicationsOptics

Abstract

fetched live from OpenAlex

In this paper, a fully-integrated CMOS broadband RF vector multiplier (RFVM) with low root-mean-square (RMS) magnitude and phase errors and high linearity is presented. The proposed RFVM includes a three-stage RC poly-phase filter (PPF) to generate the quadrature phase signals, two parallel phase-invariant variable gain amplifiers (VGA) to adjust the amplitude and phase of the input RF signal, and a two-stage post amplifier to provide sufficient output power. Fabricated on a 0.13μm CMOS process, the RFVM demonstrator allowed for magnitude and phase control ranges of 30dB and 360 degrees over a broad operation bandwidth spanning from 0.6 to 2.8GHz. The measured root-mean-square amplitude and phase errors were limited to 0.17dB and 2.5 degrees. A high input 1-dB compression power of 3 to 5dBm was maintained over the targeted bandwidth.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.842

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 head0.011
GPT teacher head0.229
Teacher spread0.218 · 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