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Record W4406434862 · doi:10.1049/ell2.70130

Novel cylindrical representation of the STFT for signal analysis

2025· article· en· W4406434862 on OpenAlex

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

VenueElectronics Letters · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Electrical Measurement Techniques
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsSpectrogramShort-time Fourier transformRepresentation (politics)Computer scienceFrequency domainTime–frequency analysisSIGNAL (programming language)VisualizationFourier transformTime–frequency representationSignal processingArtificial intelligenceComputer visionMathematicsFourier analysisDigital signal processingFilter (signal processing)

Abstract

fetched live from OpenAlex

Abstract The proposal of new signal representation techniques in time‐frequency domain can improve the visualization and acquisition of frequency components in various applications. In this sense, this article presents a novel and different representation of the short‐time Fourier transform (STFT) spectrogram for signal analysis, based on changing the visualization from a linear to a cylindrical representation by means of a linear transformation. Simulations show that this new representation focuses on the accuracy of the frequency components rather according to the angular position in which they occur; on the other hand it is easier to analyze high‐frequency components than those of low frequency. Finally, it is visually easier to identify fixed components along the test in this representation in a wide window STFT analysis.

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 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: none
Teacher disagreement score0.966
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.011
GPT teacher head0.261
Teacher spread0.249 · 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