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...
Saved in:
Main Author: | Samdin, Siti Balqis |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/79529/1/SitiBalqisSamdinPFBME2017.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evolutionary coherence on EEG signals for epileptic seizure detection
by: Tay, Yu Cheng
Published: (2017) -
Changes in plant diversity, plant traits and environmental variables along an urbanization gradient in Ipoh Perak
by: Balqis Aqila Alue
Published: (2022) -
Lignocellulolytic enzymes by aspergillus sp. A1 and bacillus sp. B1 isolated from gut of bulbitemes sp. in solid state fermentation using sawdust as substrate
by: Kamsani, Noratiqah
Published: (2017) -
Three dimensional surface reconstruction of lower limb prosthetic model using infrared sensor array
by: Daud, Siti Asmah
Published: (2016) -
3D surface reconstruction for lower limb prosthetic model using modified radon transform
by: Mohd. Sobani, Siti Syazalina
Published: (2017)