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Blind source separation is a signal processing method based on independent component analysis, its aim is to separate the source signals from a set of observations by assuming the signals independently. This paper reviews the general concept of BSS, especially the theory for convolutive mixtures, the model of convolutive mixture and two deconvolution structures: recursive and direct structures, then...
This paper proposed a new feature extraction method based on independent component analysis (ICA) from one- dimensional signal. The ICA based feature corresponds to the higher-order statistics. It contains plentiful phase information and thus, has the merit in some applications. The new feature extraction is done in three steps: first, the ICA basis filters of one class signal are trained by a number...
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