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Record W2083289245 · doi:10.1155/wcn.2005.197

Estimation of Directions of Arrival by Matching Pursuit (EDAMP)

2005· article· en· W2083289245 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 Wireless Communications and Networking · 2005
Typearticle
Languageen
FieldComputer Science
TopicSpeech and Audio Processing
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsComputer scienceA priori and a posterioriAlgorithmMatching (statistics)Convergence (economics)Matching pursuitDirection of arrivalTime of arrivalEstimationAngle of arrivalCorrelationArrival timeSelection (genetic algorithm)Basis (linear algebra)Artificial intelligencePattern recognition (psychology)StatisticsTelecommunicationsMathematicsWireless

Abstract

fetched live from OpenAlex

Journal on Wireless Communications and Networking is a peer-reviewed open access journal that bridges science and applications of wireless communications and networking technologies. Emphasizes signal processing techniques and tools. Highlights the continued growth and new challenges in wireless technology. Encourages original results relating to the theory and/or applications of wireless communications and networking. Journal on Wireless Communications and Networking has APC waivers available for authors on an ad-hoc basis. Contact the Journal Publisher before submitting your work for additional information.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.395

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 studies0.0010.000
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 head0.021
GPT teacher head0.279
Teacher spread0.258 · 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