Cascaded approach for microsleep data extraction

The noisy component extraction (NoiCE) algorithm is proposed to blind-extract noisy signals. This is achieved based on a combination of blind extraction structure and a cascaded nonlinear adaptive estimation. Although we use the concept of sequential blind extraction of sources and independent component analysis (ICA), we do not assume that sources are statistically independent. In fact, we show that the proposed cascaded nonlinear filter can be used to extract a signal (a single signal each time) from their noisy mixtures. Computer simulations confirm the validity and performance of the proposed algorithm in noisy microsleep events.