Decomposing the Krohn-Rhodes form of electroencephalography (EEG) signals using Jordan-Chevalley decomposition technique
This paper explores how electroencephalography (EEG) signals in the Krohn-Rhodes form can be decomposed further using the Jordan-Chevalley decomposition technique. First, the recorded EEG signals of a seizure were transformed into a set of matrices. Each of these matrices was decomposed into its ele...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
MDPI AG
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/94925/ http://dx.doi.org/10.3390/axioms10010010 |
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| Institution: | Universiti Teknologi Malaysia |