Please use this identifier to cite or link to this item:
|Title:||Recursive fisher linear discriminant for BCI applications|
|Source:||Huang, D., Xiang, C., Ge, S.S. (2007). Recursive fisher linear discriminant for BCI applications. Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP : 383-388. ScholarBank@NUS Repository. https://doi.org/10.1109/ISSNIP.2007.4496874|
|Abstract:||A novel recursive procedure for extracting discriminant features, termed Recursive Fisher Linear Discriminant (RFLD), is applied to brain-computer interface (BCI) problems. Compared to traditional Fisher Linear Discriminant (FLD), RFLD relaxes the constraint on the total number of features that can be extracted. The new RFLD has been tested on motor imagery classification with the electrocorticography (ECoG) signals. The resulting improvement of performance by the new feature extraction scheme suggests the effectiveness of our method. © 2007 IEEE.|
|Source Title:||Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 14, 2017
checked on Dec 10, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.