Title :
An Iterative ICA Method for Separating fMRI Acoustic Noise Components
Author :
Huang, Wanjun ; Panahi, Issa ; Briggs, Richard
Author_Institution :
Univ. of Texas at Dallas, Richardson
Abstract :
A new iterative algorithm for separating mixtures of multi-channel signals is proposed. This algorithm extends the instantaneous independent component analysis algorithm to multi-channel blind source separation algorithm. Separation is processed by decomposing convolutive mixtures to instantaneous mixtures. Simulation results for real fMRI (functional magnetic resonance imaging) scanner noise show that the proposed algorithm is very effective in blind source separation.
Keywords :
acoustic noise; biomedical MRI; blind source separation; deconvolution; independent component analysis; iterative methods; medical signal processing; fMRI acoustic noise; functional magnetic resonance imaging; independent component analysis; iterative ICA method; multichannel blind source separation algorithm; multichannel signal separation; Acoustic noise; Blind source separation; Deconvolution; Filters; Independent component analysis; Iterative algorithms; Iterative methods; Signal processing; Signal processing algorithms; Source separation;
Conference_Titel :
Engineering in Medicine and Biology Workshop, 2007 IEEE Dallas
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-1626-4
DOI :
10.1109/EMBSW.2007.4454158
