%0 Journal Article
%T High Order Differential Covariance based Source Separation of Monkey¡¯s fMRI Data .
%A Amir A Khaliq
%A I M Quresh
%A Jawad A Shah
%A Suheel A Malik
%J International Journal of Engineering Sciences & Research Technology
%D 2013
%I 
%X Blind source separation is a statistical technique in which an observed mixed data is decomposed in source signals and mixing channel. In BSS normally no, or little knowledge about the mixing channel is available a priori. In this work a higher order differential Covariance based source separation technique is used to separate the physiological sources blindly from Monkey¡¯s fMRI data. Proposed covariance based technique is applied first applied to simulated data and then on Monkey¡¯s data. Results are compared with other conventional BSS algorithms. Proposed algorithm outperforms conventional BSS algorithms in terms of quality and computational complexity.
%K Medical image processing
%K BSS algorithm
%K fMRI data source separation
%U http://www.ijesrt.com/issues%20pdf%20file/Archives%202013/may-2013/45.pdf