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Record W4240970930 · doi:10.1109/mwsym.1979.1124125

The Injection-Locked-Oscillator as a Microwave Amplifier of MSK Modulated Signals - Part II

2005· article· en· W4240970930 on OpenAlexaff
S. Kumar, W.J. Chudobiak, J.S. Wight

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Line Communications and Noise
Canadian institutionsCarleton University
Fundersnot available
KeywordsMinimum-shift keyingAmplifierBit error ratePhase-shift keyingBandwidth (computing)KeyingDegradation (telecommunications)MicrowaveFrequency offsetPhysicsInjection lockingPhase noiseElectronic engineeringComputer scienceTelecommunicationsEngineeringOpticsOrthogonal frequency-division multiplexing

Abstract

fetched live from OpenAlex

Because of its phase continuous nature a Minimum-Shift-Keying (MSK) type of digitally modulated microwave signal may be amplified with an Injection-Locked-Oscillator Phase-Locked-Amplifier (ILO-PLA) Experimental bit-error-rate results for an ILO-PLA are presented in this paper for MSK modulated signals. The results show that for MSK signals an ILO-PLA does not display the large performance degradation previously reported for QPSK signals. Further a two sided locking bandwidth equal to 1.8 times the input signal bit-rate results in about .3 dB degradation in the bit-error-rate performance due to the ILO-PLA. A positive or negative frequency offset of about ten per cent of the locking bandwidth causes negligible further degradation of the performance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.001

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 head0.011
GPT teacher head0.228
Teacher spread0.217 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2005
Admission routes1
Has abstractyes

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