Article

A Generalized Iterative Polar Transform for Readable Time-Series Imaging

2026-07-30

Abstract excerpt

Encoding a one-dimensional time series as a two-dimensional image and classifying it with a convolutional neural network is a popular and accurate paradigm, yet the standard encoders, Gramian Angular Fields, Markov Transition Fields, recurrence plots, spectrograms, scalograms, and polar or spiral embeddings, are validated almost exclusively on downstream accuracy. A second, practically essential property is almost...

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Literature Corpus work: 9d9efbbe-b3be-5eb3-acc4-32cb8cf11be0
DOI: 10.20944/preprints202607.2255.v1

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