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
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;
Conference_Titel :
Multimedia Computing and Systems (ICMCS), 2012 International Conference on
Conference_Location :
Tangier
Print_ISBN :
978-1-4673-1518-0
DOI :
10.1109/ICMCS.2012.6320119
