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Record W2995362794 · doi:10.1109/tcsi.2019.2955693

A 2.12-V $V_{pp}~11.67$ -pJ/pulse Fully Integrated UWB Pulse Generator in 65-nm CMOS Technology

2019· article· en· W2995362794 on OpenAlexaff
Shengkai Gao, Kambiz Moez

Bibliographic record

VenueIEEE Transactions on Circuits and Systems I Regular Papers · 2019
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Alberta
FundersChina Scholarship Council
KeywordsCMOSPulse generatorElectrical engineeringVoltageGenerator (circuit theory)AmplifierSIGNAL (programming language)Pulse (music)ChipPhysicsUltra-widebandSignal generatorPower (physics)Materials scienceComputer scienceEngineering

Abstract

fetched live from OpenAlex

This paper presents a high-voltage ultra-wideband (UWB) pulse generator. Shifting the UWB signal synthesis to digital domain using two consecutive trapezoidal waves, the design requires only a simple low-loss passive filter to conform to UWB spectrum regulations. A power amplifier stage is added to boost the output voltage above the supply voltage limit. To verify the design concept, the generator is designed in TSMC CMOS 65 nm technology with 1 V supply voltage occupying a die size of 0.34 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . The UWB generator achieves an efficiency of 21% while the total energy consumption is 11.67 pJ/pulse. On-chip measurement is in good agreement with the simulation and shows output peak-to-peak amplitude of 2.12 V after adding the cable and probe losses to the measured 1.62 V peak-to-peak voltage. The proposed UWB signal generator achieves the highest peak-to-peak to supply voltage ratio among the UWB signal generators reported to the date.

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: Empirical
Teacher disagreement score0.214
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.191
Teacher spread0.181 · 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

Citations11
Published2019
Admission routes1
Has abstractyes

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