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Record W2954753411 · doi:10.1109/jssc.2019.2914576

A Quantized Analog RF Front End

2019· article· en· W2954753411 on OpenAlex

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

VenueIEEE Journal of Solid-State Circuits · 2019
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Resonator Technologies
Canadian institutionsUniversity of Toronto
FundersAnalog Devices
KeywordsBasebandCMOSElectrical engineeringAnalog front-endFront and back endsNoise figurePhysicsdBmSIGNAL (programming language)Radio frequencyRF front endAmplifierEngineeringComputer science

Abstract

fetched live from OpenAlex

A surface acoustic wave (SAW)-less receiver with a quantized analog RF front end is presented. The front end is composed of 100 smaller unit front ends, each one dedicated to process only a portion of the input signal. This allows the compression point of the structure to be increased beyond the voltage supply and to reconfigure the dynamic range to fit different operative conditions. A prototype integrated in 65-nm CMOS is presented, where the 1-dB compression point can go up to 10.5 dBm under 0.8-V supply, while the noise figure can be lowered down to 1.5 dB. The RF front end and the baseband burn 14 mW, while clock generation and distribution burn 37.2 mW/GHz. Upon the configuration, IIP3 varies between 1 and 20.5 dBm, while IIP2 between 35 and 75 dBm with a single-ended structure. The third- and fifth-order harmonic rejections are over 40 and 47 dB, respectively. The active area is only 0.25 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> .

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 score0.041
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.237
Teacher spread0.225 · 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