Blind Source Separation: Biomedical applications
نویسندگان
چکیده
Blind source separation (BSS) refers to a wide class of methods in signal and image processing, which extract the underlying sources from a set of mixtures without almost any prior knowledge about the sources nor about the mixing process. In biomedical applications, BSS is used for the analysis of electroencephalogram (EEG), magenetoencephalogram (MEG) and electrocardiogram (ECG) signals and functional magnetic resonance (fMRI) images.
منابع مشابه
Blind Source Separation based on Joint Diagonalization of Matrices with Applications in Biomedical Signal Processing
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