MétaCan
Menu
Back to cohort
Record W2080927857 · doi:10.1155/s1110865704404028

Gaussian Channel Model for Mobile Multipath Environment

2004· article· en· W2080927857 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

VenueEURASIP Journal on Advances in Signal Processing · 2004
Typearticle
Languageen
FieldComputer Science
TopicDirection-of-Arrival Estimation Techniques
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsAngle of arrivalMultipath propagationGaussianComputer scienceChannel (broadcasting)Probability density functionBase stationGaussian processAlgorithmStatistical physicsPhysicsOpticsTelecommunicationsMathematicsStatistics

Abstract

fetched live from OpenAlex

A model of an angle-spread source is described, termed the "Gaussian channel model" (GCM). This model is used to represent signals transmitted between a user equipment and a cellular base station. It assumes a Gaussian law of the scatterer occurrence probability, depending upon the scatterer distance from the user. The probability density function of the angle of arrival (AoA) of the multipath components is derived for an arbitrary angle spread. The "wandering" of the "centre of gravity" of the scattering source realisation is investigated, which is in turn due to the nonergodicity of the angle-scatter process. Numerical results obtained with the help of the sum-difference bearing method show the dependence of the AoA estimation accuracy on the spread-source model.

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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.689
Threshold uncertainty score0.612

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 communication0.0000.002
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 head0.021
GPT teacher head0.305
Teacher spread0.284 · 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