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Record W3013432765 · doi:10.32508/stdj.v15i3.1813

THE ANALYSIS OF PHYSICAL PROPERTIES OF THE ULTRA-WIDEBAND CHANNEL MODEL IN COMMUNICATION AT SHORT DISTANCES

2012· article· en· W3013432765 on OpenAlexaff
Nhan Chi Nguyen, Nghĩa Hoai Duong, Anh Dinh

Bibliographic record

VenueScience and Technology Development Journal · 2012
Typearticle
Languageen
FieldEngineering
TopicUltra-Wideband Communications Technology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsChannel (broadcasting)Computer scienceUltra-widebandMultipath propagationElectronic engineeringWirelessCoding (social sciences)Transmission (telecommunications)AttenuationTelecommunicationsEngineeringPhysicsOptics

Abstract

fetched live from OpenAlex

Accurately modeling the channel is extremely important for the design of communication systems. Knowledge of the key features of the channel provides the designers with the ability to predict performance of the system for specific modulation, channel coding, and signal processing. In this paper, we will present the analysis of physical properties of the UWB channel model and propose an UWB channel model for short distance wireless communications (with a comparison to the IEEE 802.15.3a channel model). Through the analysis and design, conclusions related to the UWB channel model were drawn as follows: there are reflection, diffraction, multipath transmission, and signal attenuation with distance and frequency but there is no pulse distortion.

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)0.001
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: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.002
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 head0.015
GPT teacher head0.226
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 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

Citations0
Published2012
Admission routes1
Has abstractyes

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