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Record W2165033358 · doi:10.1109/aps.2006.1711015

High order S-MRTD time-domain modeling of fading characteristics of wireless channels

2006· article· en· W2165033358 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

Venue2006 IEEE Antennas and Propagation Society International Symposium · 2006
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFadingFinite-difference time-domain methodTime domainComputer scienceWirelessElectronic engineeringChannel (broadcasting)AlgorithmScalingFading distributionTelecommunicationsMathematicsEngineeringRayleigh fadingOpticsPhysics

Abstract

fetched live from OpenAlex

In this paper, high order time-domain S-MRTD (scaling function-based multiresolution time-domain) schemes were applied to characterize fading effects in an indoor wireless channel. The fading characteristics were observed to vary largely with the values of electrical properties of the construction materials. Such detailed considerations are not taken into account by statistical models. On the other hand, S-MRTD was observed to be effectively functional at coarser grids, compared to the traditional FDTD, resulting in significant reduction of memory and CPU-time. Such a deterministic approach provides a more accurate system characterization, compared to the measurement-based AF models. Finally, the proposed technique can characterize a channel at a resolution of centimeters, practically impossible for a measurement campaign

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)0.000
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 score0.870
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.227
Teacher spread0.219 · 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