DocumentCode
3542022
Title
Practical consideration for ICA
Author
Chakkor, O. ; Mohammed, Errais ; Puntonet, C.G. ; Zbitou, J.
Author_Institution
Electron. & Microwave Group, Abdelmalek Essaaidi Univ., Tetouan, Morocco
fYear
2012
fDate
10-12 May 2012
Firstpage
71
Lastpage
74
Abstract
Independent component analysis (ICA) and blind source separation (BSS) refer to the problem of recovering statistically independent signals from a linear mixture. And its success for a given data set may depend crucially on performing application-dependent preprocessing steps. Before applying ICA some of the things we have to be careful about concerning many parts of ICA. Of course there are more things one has to keep in mind in order to apply ICA successfully, or at least with the biggest chance to be.
Keywords
blind source separation; independent component analysis; BSS; application-dependent preprocessing steps; blind source separation; independent component analysis; lCA; linear mixture; statistically independent signal recovery; Principal component analysis; Independent Component Analysis; Principal Component Analysis; Signal Separation;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Computing and Systems (ICMCS), 2012 International Conference on
Conference_Location
Tangier
Print_ISBN
978-1-4673-1518-0
Type
conf
DOI
10.1109/ICMCS.2012.6320119
Filename
6320119
Link To Document