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Performances of former independent component analysis (ICA) algorithms depend on the true probability density function of each source, but in practice these densities are unknown. To handle this problem Non-parametric and parametric ICA algorithms have been developed. In this paper it is studied the separation of maternal and fetal heart beats from electrocardiogram (ECG) recordings based on FastICA...
This paper suggests a signal processing method for finding the minimax codes which minimize the maximum redundancies over a class of sources with either a discrete or a continuous alphabet, and where relative entropy (cross entropy; discrimination information) is a criterion to measure the redundancy. A complexity analysis and numerical studies demonstrate the efficiency of the method.
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