Independent component analysis: An introduction
نویسندگان
چکیده
منابع مشابه
Independent component analysis: an introduction.
Independent component analysis (ICA) is a method for automatically identifying the underlying factors in a given data set. This rapidly evolving technique is currently finding applications in analysis of biomedical signals (e.g. ERP, EEG, fMRI, optical imaging), and in models of visual receptive fields and separation of speech signals. This article illustrates these applications, and provides a...
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1 ICA 2 1.1 Examples of linear mixtures of independent components . . . . . 2 1.2 Basic assumptions . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 ICA from Maximum Likelihood . . . . . . . . . . . . . . . . . . . 4 1.4 PCA and ICA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.5 Minimal Mutual Information . . . . . . . . . . . . . . . . . . . . 6 1.6 Maximum Transmitte...
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ژورنال
عنوان ژورنال: Applied Computing and Informatics
سال: 2020
ISSN: 2634-1964,2210-8327
DOI: 10.1016/j.aci.2018.08.006