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Record W2108609195 · doi:10.1109/mwsym.2011.5972740

Performance analysis of the enhanced microwave multiplexing networks for applications in communications satellites

2011· article· en· W2108609195 on OpenAlexaff
Ying Wang, Ming Yu

Bibliographic record

Venue2011 IEEE MTT-S International Microwave Symposium · 2011
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsCOM DEV InternationalOntario Tech University
Fundersnot available
KeywordsMultiplexerPassbandMultiplexingInsertion lossChannel (broadcasting)MicrowaveBandwidth (computing)ResonatorElectronic engineeringComputer scienceBand-pass filterTopology (electrical circuits)PhysicsTelecommunicationsElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

In this paper, the performance improvements and limitations of the enhanced microwave multiplexer are thoroughly studied for applications in communications satellites considering in-band flatness of gain and group delay, out-of-band rejection, temperature stability and insertion loss. The overall performance of the enhanced multiplexer with M <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> order channel filters is similar to conventional design with M+1 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> order channel filters. It is shown that the difference in the coefficients of thermal expansion of the materials for the channel filters and the manifold has an effect on the multiplexer temperature stability. Impact of channel filter resonator Q factor and fractional bandwidth on the passband insertion loss is also demonstrated using different designs.

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.

How this classification was reachedexpand

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 score0.484
Threshold uncertainty score0.892

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 science0.0010.000
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 head0.020
GPT teacher head0.230
Teacher spread0.210 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2011
Admission routes1
Has abstractyes

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