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Record W2095331392 · doi:10.1163/156939309788019921

Analysis of Multiport Receivers Using FDTD Technique

2009· article· en· W2095331392 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

VenueJournal of Electromagnetic Waves and Applications · 2009
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFinite-difference time-domain methodDetectorMicrostripNonlinear systemDiodeElectronic circuitPIN diodeComputer scienceElectronic engineeringOpticsTelecommunicationsPhysicsElectrical engineeringOptoelectronicsEngineering

Abstract

fetched live from OpenAlex

In this paper, the full wave analysis of multiport direct conversion receivers using finite-difference time-domain technique is presented. An explicit and efficient formula for FDTD analysis of nonlinear detector diodes is extracted. Using this formula, the multiport receivers including both passive microstrip part and nonlinear detectors are analyzed using FDTD method. The receivers are also implemented using microstrip circuits and detector diodes for S band and Ka-band radio systems. Then, the results obtained using FDTD are verified with measurements. An excellent agreement between the results confirms the accuracy and efficiency of the full wave analysis.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
Threshold uncertainty score0.359

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.010
GPT teacher head0.279
Teacher spread0.269 · 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