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Record W1998673509 · doi:10.1117/12.2016093

Rejection of interference and near-field coupled LNA-noise on FPA-fed multibeam dish antennas using 3D analog filters

2013· article· en· W1998673509 on OpenAlex
Arjuna Madanayake, Chamith Wijenayake, Thushara Gunarathne, Leonid Belostotski, Yongsheng Xu, L.T. Bruton

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

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Optimization
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPassbandInterference (communication)Infinite impulse responseComputer scienceAcousticsNoise (video)Filter (signal processing)Frequency domainOpticsBand-pass filterElectronic engineeringPhysicsDigital filterTelecommunicationsChannel (broadcasting)Computer vision

Abstract

fetched live from OpenAlex

A three dimensional (3-D) spatio-temporal analog signal processing scheme is presented for the selective removal of off-dish interference and noise from focal plane array (FPA) received signals. The method exploits specific geometrical properties of the 3-D spatio-temporal frequency spectrum of FPA signals to perform the filtering operation. A 3-D infinite impulse response (IIR) filter having a cone-shaped filter passband in the 3-D spatio-temporal frequency space is employed to extract the spectra of desired FPA signals while rejecting the spectral components from undesired off-dish interference and coupled noise from front-end electronics. A proof-of-concept example is provided by considering the filtering operation in 3-D spatio-temporal frequency domain.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.928
Threshold uncertainty score1.000

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 communication0.0000.001
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 head0.012
GPT teacher head0.214
Teacher spread0.203 · 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