• Only the “interesting” signals need to be extracted. For example, if the source signals are mixed with a large number of noise terms, we may extract only the specific signals which possess some desired statistical properties.

• The signals can be extracted in a specified order according to the statistical features of the source signals, e.g., in the order determined by the absolute values of the generalized normalized kurtosis. Blind extraction of sources can be considered as a generalization of the sequential extraction of principal components, where uncorrelated output signals are extracted according to the decreasing order of their variances.

• The available unsupervised learning algorithms for BSE are local, stable and typically biologically ...

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