MétaCan
Menu
Back to cohort
Record W1979934649 · doi:10.2514/6.2007-3271

Modeling and Analysis of Multi-Port Power Amplifiers

2007· article· en· W1979934649 on OpenAlex
Xinping Huang, Mario Caron

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

Venue25th AIAA International Communications Satellite Systems Conference (organized by APSCC) · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsAmplifierPort (circuit theory)Computer sciencePower (physics)Transistor arrayCurrent sense amplifierElectronic engineeringElectrical engineeringTelecommunicationsEngineeringBandwidth (computing)PhysicsOperational amplifier

Abstract

fetched live from OpenAlex

(Abstract) In this paper, we present a generic model of multi-port power amplifier subsystems in the presence of device imperfections. This model allows quantifying the required component specifications to meet a given performance in terms of carrier-to- interference ratio or bit-error-rate degradation, or similarly to define the required performance of the calibration circuit. Examples of carrier-to-interference ratio and bit- error-rate performances of an 8-PSK and a 16-APSK communication system for different levels of device imperfections is presented to illustrate effects of device imperfections. It is concluded that at high frequencies such as Ka-band, a calibration technique is required to minimize performance losses in high-order modulation links. A novel calibration technique is briefly described.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.038
GPT teacher head0.290
Teacher spread0.252 · 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