MétaCan
Menu
Back to cohort
Record W1959874024 · doi:10.24908/pceea.v0i0.4880

THE USE OF MAXIMA IN TEACHING ANALOG AND DIGITAL SIGNAL PROCESSING

2013· article· en· W1959874024 on OpenAlexaffvenue
Christian Gargour, V. Ramachandran, M. Gabrea

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2013
Typearticle
Languageen
FieldComputer Science
TopicPolynomial and algebraic computation
Canadian institutionsConcordia UniversityÉcole de Technologie SupérieureUniversité du Québec à Montréal
Fundersnot available
KeywordsMaximaComputer scienceMaxima and minimaDomain (mathematical analysis)Signal processingSIGNAL (programming language)SoftwareDigital signal processingTheoretical computer scienceMathematicsComputer hardwareProgramming languageMathematical analysis

Abstract

fetched live from OpenAlex

Maxima is mathematical software which can be obtained freely on the web. While Maxima it not specifically designed for analog and/or digital signal processing manipulations, its versatility and numerous symbolic as well as numerical manipulations capabilities makes it an interesting tool to be used by instructors and students of these types of courses. We will expose in this paper how Maxima can be used for that purpose and we will give numerous examples to illustrate its use in this domain.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.815

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 communication0.0000.001
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 head0.008
GPT teacher head0.185
Teacher spread0.177 · 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 designObservational
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

Citations0
Published2013
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the Canadian Engineering Education Association (CEEA)Same topicPolynomial and algebraic computationFrench-language works237,207