Name
Title | ||
|---|---|---|
Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing |
Abstract | ||
|---|---|---|
This paper proposes a robust algorithm for adaptive modelling of EEG signal classification using a modified Extended Kalman Filter (EKF). This modified EKF combines Radial Basis functions (RBF) and Autoregressive (AR) modeling and obtains better classification performance by truncating the filtering distribution when new observations are very informative. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-88906-9_47 | IDEAL |
Keywords | Field | DocType |
radial basis function,brain computer interfacing,adaptive classification,adaptive modelling,truncated filtering,modified ekf,new observation,obtains better classification performance,robust algorithm,modified extended kalman filter,hybrid ekf,eeg signal classification,extended kalman filter,ar model,brain computer interface | Autoregressive model,Extended Kalman filter,Radial basis function,Pattern recognition,Computer science,Filter (signal processing),Interfacing,Artificial intelligence,Signal classification,Invariant extended Kalman filter,Machine learning | Conference |
Volume | ISSN | Citations |
5326 | 0302-9743 | 1 |
PageRank | References | Authors |
0.40 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ji Won Yoon | 1 | 112 | 23.94 |
| stephen j roberts | 2 | 1244 | 174.70 |
| Matthew Dyson | 3 | 26 | 3.76 |
| John Q. Gan | 4 | 391 | 34.75 |