Symmetric tensor decomposition of narrowband single channel signals

Being able to determine the rank of a symmetric tensor and estimate the number of sources within single channel mixtures are the motives for developing a new approach for decomposition of single channel mixtures. The single channel data is converted to a symmetric tensor and decomposed. As another contribution, the inherent frequency diversity of the time series has been effectively exploited to highlight the subspace of interest. As a useful application, the method has been applied to detect the beta rebound for use in brain computer interfacing.