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Record W2145980514 · doi:10.1109/icuwb.2009.5288733

Design and analysis of a compact UWB pulse generator with programmable pulse shape

2009· article· en· W2145980514 on OpenAlexafffund
Joshua D. Schwartz, José Azaña, Nicholas Zicha, David V. Plant

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUltra-Wideband Communications Technology
Canadian institutionsMcGill UniversityInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPulse-position modulationPulse generatorPulse (music)Pulse-amplitude modulationPulse-width modulationModulation (music)Pulse shapingBandwidth-limited pulseComputer scienceElectronic engineeringCMOSElectrical engineeringPhysicsTelecommunicationsOpticsEngineeringUltrashort pulseAcousticsDetectorVoltage

Abstract

fetched live from OpenAlex

We present a programmable ultra-wideband (UWB) pulse generator designed and simulated in 90 nm CMOS technology. The design receives an input square pulse and uses a pulse-combinatorial method to generate an output pulse composed of six individual impulses, each independently adjustable in both amplitude and delay. Additionally, the final pulse width can be adjusted. The design uses a 1.2 V supply and is compact (core area ~0.1 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ). A digital memory block is used to retain the control bits that describe two different pulse shapes for purposes of demonstrating binary modulation schemes, including phase-shift keying, pulse-position modulation, or pulse-shape modulation at rates up to 2 Gbps. The design can produce pulses respecting the FCC-defined UWB indoor frequency mask, and consumes about 54 mW at the peak data rate, representing a pulse efficiency of 27 pJ/pulse.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.014
GPT teacher head0.225
Teacher spread0.211 · 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.

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

Citations7
Published2009
Admission routes2
Has abstractyes

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