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Embedding Dimension Selection for Adaptive Singular Spectrum Analysis of EEG Signal
The recorded electroencephalography (EEG) signal is often contaminated with different kinds of artifacts and noise. Singular spectrum analysis (SSA) is a powerful tool for extracting the brain rhythm from a noisy EEG signal. By analyzing the frequency characteristics of the reconstructed component (...
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| Vydáno v: | Sensors (Basel) |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5877194/ https://ncbi.nlm.nih.gov/pubmed/29495415 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18030697 |
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