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Record W2123239283 · doi:10.1109/wcnc.2007.520

A Pulse Shape Design Method for Ultra-Wideband Communications

2007· article· en· W2123239283 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicUltra-Wideband Communications Technology
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsComputer scienceUltra-widebandWidebandElectronic engineeringBandwidth (computing)Pulse shapingBit error rateSpectral densityPulse (music)GaussianInterference (communication)AlgorithmPower (physics)TelecommunicationsPhysicsDecoding methodsEngineering

Abstract

fetched live from OpenAlex

A new design method to generate pulses for ultra-wideband (UWB) communication systems is presented. The systematic searching method is based on the linear combination of a number of Gaussian derivative pulses to form one single pulse whose power spectral density (PSD) not only conforms to the FCC spectral mask, but also effectively exploits the allowable bandwidth and power. In addition, the effect of pulse shaping on the mitigation of multiuser interference (MUI) is also taken into consideration in the proposed pulse shape design method. In particular, the authors develop a parameter called normalized mean-squared partial pulse correlation, which only has relation with the pulse shape and can directly affect the signal-to-noise ratio (SNR) of the receiver in a multi-user environment. By choosing a pulse which minimizes this parameter, the authors obtain the desired pulse shape. Compared with the widely used single Gaussian derivative pulses, the pulses they designed achieve better bit error rate performance in both single link and multi-user TH-PPM and TH-BPSK UWB communication systems.

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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.564
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.041
GPT teacher head0.309
Teacher spread0.268 · 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

Quick stats

Citations17
Published2007
Admission routes1
Has abstractyes

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