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Robust spectrotemporal decomposition by iteratively reweighted least squares
Classical nonparametric spectral analysis uses sliding windows to capture the dynamic nature of most real-world time series. This universally accepted approach fails to exploit the temporal continuity in the data and is not well-suited for signals with highly structured time–frequency representation...
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| Опубликовано в: : | Proc Natl Acad Sci U S A |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
National Academy of Sciences
2014
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4273341/ https://ncbi.nlm.nih.gov/pubmed/25468968 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1320637111 |
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