Name
Title | ||
|---|---|---|
Artifact Removal from Single-Trial ERPs using Non-Gaussian Stochastic Volatility Models and Particle Filter. |
Abstract | ||
|---|---|---|
This paper considers improved modeling of artifactual noise for denoising of single-trial event-related potentials (ERPs) by state-space approach. Instead of the inadequate constant variance models used in existing studies, we propose to use stochastic volatility (SV) models to better describe the time-varying volatility in real ERP noise sources. We further propose a class of non-Gaussian SV mode... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/LSP.2014.2321000 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Brain models,Stochastic processes,Biological system modeling,Particle filters,Gaussian noise | Noise reduction,Autoregressive model,Stochastic volatility,Pattern recognition,Particle filter,Gaussian,Artificial intelligence,Estimation theory,Gaussian noise,Volatility (finance),Mathematics | Journal |
Volume | Issue | ISSN |
21 | 8 | 1070-9908 |
Citations | PageRank | References |
2 | 0.44 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chee-Ming Ting | 1 | 72 | 13.17 |
| S. Hussain | 2 | 47 | 9.46 |
| Z M Zainuddin | 3 | 20 | 1.80 |
| Arifah Bahar | 4 | 26 | 2.60 |