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Record W1564659413

Characterization of memory effects in concurrent dual-band PAs

2011· article· en· W1564659413 on OpenAlex
Wenhua Chen, Seyed Aidin Bassam, Mohamed Helaoui, Fadhel M. Ghannouchi, Zhenghe Feng

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

VenueAsia-Pacific Microwave Conference · 2011
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMulti-band deviceAmplifierModulation (music)Amplitude modulationDistortion (music)LinearizationElectronic engineeringComputer scienceNonlinear distortionIntermodulationPower (physics)Frequency modulationNonlinear systemPhysicsTelecommunicationsEngineeringRadio frequencyBandwidth (computing)Acoustics
DOInot available

Abstract

fetched live from OpenAlex

In this paper the nonlinearity of concurrent dual-band power amplifier (PA) is investigated by using modulated signals and digital multi-tone signals. The difference between ordinary inter-modulation distortion in single band power amplifier and the distortion from cross-modulation between dual bands in a concurrent dual-band PA has been verified and studied. According to AM-AM and AM-PM performances in different modes, the concurrent dual-band mode has more scattered behavior. To evaluate and quantify the memory due to the cross-modulation, and identification method is used to extract the amplitudes and phases of different inter-modulation products, which is useful for power amplifier behavior modeling and linearization.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
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 communication0.0000.000
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 head0.026
GPT teacher head0.211
Teacher spread0.185 · 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