Continuous-time non-linear non-gaussian state-space modeling of electroencephalography with sequential Monte Carlo based estimation
Biomedical time series are non-stationary stochastic processes with hidden dynamics that can be modeled by state-space models (SSMs), and processing of which can be cast into optimal filtering problems for SSMs. The existing studies assume discrete-time linear Gaussian SSMs with estimation solved an...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2012
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/30694/ http://eprints.utm.my/30694/5/TingCheeMingPFS2012.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|