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Record W2099409907 · doi:10.1109/jssc.2008.2011032

A Wideband Power Detection System Optimized for the UWB Spectrum

2009· article· en· W2099409907 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 · 2009
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsNMOS logicWidebandTriodeRadio frequencyPower (physics)CMOSElectrical engineeringPhysicsDetectorElectronic engineeringPiecewise linear functionVoltageComputer scienceEngineeringCapacitorMathematicsTransistor

Abstract

fetched live from OpenAlex

A wideband radio-frequency (RF) power detection system is presented. The detection technique uses NMOS devices operating in the triode regime to generate an average current proportional to RF input power; this current is converted to voltage and amplified using a piecewise linear logarithmic approximation. Optimization of the NMOS devices is discussed, and a method of gain control is proposed for compensation of temperature and process variation. The power detector occupies an active area of 0.36 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> in a 0.18 mum CMOS process and consumes 10.8 mW from the power supply. Error between the output and a linear-in-dB best-fit curve is plusmn2.4 dB for a 20 dB input range, when measured at discrete frequencies. The output response is frequency independent, varying by less than 1.8 dB for a fixed input power as frequency is swept across the UWB spectrum.

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)0.001
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: none
Teacher disagreement score0.889
Threshold uncertainty score0.913

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.231
Teacher spread0.217 · 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