Independent Component Analysis: Theory and Applications by Te-Won Lee (English)
167,39 €
Based on theories in probabilistic models, information theory and artificial neural networks, several unsupervised learning algorithms are presented that can perform ICA. An algorithm is presented that is able to blindly separate mixed signals with sub- and super-Gaussian source distributions.
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