1-D Orthogonal Perspectives Of Auditory Brain Activities

Aydin S.

19th International EURASIP Conference (BIOSIGNAL), Brno, Czech Republic, 01 June 2008, pp.101-106 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Brno
  • Country: Czech Republic
  • Page Numbers: pp.101-106
  • Hacettepe University Affiliated: No

Abstract

In the present study, several linear orthogonal projection algorithms (Least squares linear mapping (LSLM), minimum variance estimation (MVE), time domain constraint (TDC) and spectral domain constraint (SDC)) have been applied to a small number of noisy auditory evoked potential (EP) observations in extracting of well approximate signal subspace of interest. Pseudosimulation based tests show that the LSLM is the most useful prefilter in removing of large amount of the additive background EEG noise without loss of information.