A modified row-sparse multiple measurement vector recovery algorithm for reconstructing multichannel EEG signals from compressive measurements

In this paper, a new method for reconstructing multichannel EEG signals from their compressive measurements is proposed which exploits the inter-channel correlation. Such correlation is used in the row-sparse multiple measurement vector (RSMMV) recovery approach to improve its performance in reconstructing multichannel EEGs. In this approach, it is assumed that the multichannel EEG signal ensemble is a row-sparse matrix in some domain such as...