Sliding empirical mode decomposition for on-line analysis of biomedical time series
Biomedical signals are in general non-linear and non-stationary. Empirical Mode Decomposition in conjunction with Hilbert-Huang Transform provides a fully adaptive and data-driven technique to extract Intrinsic Mode Functions (IMFs). The latter represent a complete set of orthogonal basis functions...
| Autor principal: | |
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| Outros Autores: | , , , , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
1000
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| Texto completo: | http://hdl.handle.net/10773/5327 |
| País: | Portugal |
| Oai: | oai:ria.ua.pt:10773/5327 |