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This document summarizes a paper on blind source separation and its biomedical applications. Blind source separation refers to methods that extract underlying source signals from mixtures without prior knowledge about the sources or mixing process. In biomedical applications, blind source separation is used to analyze electroencephalogram (EEG), magnetoencephalogram (MEG), electrocardiogram (ECG) signals, and functional magnetic resonance images (fMRI). Independent component analysis is commonly used to sol

Author

lakshmi610

Language

EN