MétaCan
Menu
Back to cohort
Record W2145205262 · doi:10.1109/ultsym.1998.762139

Modeling SAW chirp Fourier transformers with differential equations

2002· article· en· W2145205262 on OpenAlexaff
Sajaad Ahmed Lone, Peter M. Smith

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Resonator Technologies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFourier transformChirpExecutableComputer scienceElectronic engineeringAcousticsPhysicsEngineeringOpticsMathematicsMathematical analysis

Abstract

fetched live from OpenAlex

The surface acoustic wave (SAW) chirp Fourier transformer (CFT) generates the continuous Fourier transform of a time-limited signal. It has been shown that the SAW CFT would be a competitive way to convert frequency division multiple access (FDMA) signals to time division multiplexed (TDM) signals in satellites, where mass and power consumption are critical issues. In this paper, we outline an executable model of the SAW CFT. Simulation is based upon the numerical integration of ordinary differential and difference equations that represent the system components. The model allows for the easy incorporation of higher order effects, and serves as an executable model for deployment in communication system simulations.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.888
Threshold uncertainty score0.583

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)0.0010.000

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 head0.017
GPT teacher head0.182
Teacher spread0.165 · 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 designSimulation or modeling
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
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicAcoustic Wave Resonator TechnologiesFrench-language works237,207