DocumentCode :
2556095
Title :
Comparison of linear, nonlinear and feature selection methods for EEG signal classification
Author :
Rodionov, A.S. ; L´vov, A.A.
fYear :
2004
fDate :
15-16 Sept. 2004
Firstpage :
436
Lastpage :
439
Keywords :
Application software; Brain modeling; Covariance matrix; Electroencephalography; Linear discriminant analysis; Neural networks; Pattern classification; Physics computing; Probability density function; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Actual Problems of Electron Devices Engineering, 2004. APEDE 2004. International Conference on
Print_ISBN :
0-7803-8442-3
Type :
conf
DOI :
10.1109/APEDE.2004.1393604
Filename :
1393604
Link To Document :
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