State-space modeling and estimation for multivariate brain signals
Brain signals are derived from underlying dynamic processes and interactions between populations of neurons in the brain. These signals are typically measured from distinct regions, in the forms of multivariate time series signals and exhibit non-stationarity. To analyze these multi-dimensional data...
Main Author: | Samdin, Siti Balqis (Author) |
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Format: | Thesis |
Published: |
2017.
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Subjects: | |
Online Access: | Get fulltext |
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