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Representing the dynamics of high-dimensional data with non-redundant wavelets
A crucial question in data science is to extract meaningful information embedded in high-dimensional data into a low-dimensional set of features that can represent the original data at different levels. Wavelet analysis is a pervasive method for decomposing time-series signals into a few levels with...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058841/ https://www.ncbi.nlm.nih.gov/pubmed/35510192 http://dx.doi.org/10.1016/j.patter.2021.100424 |