Multichannel Blind Source Separation Using Convolution Kernel Compensation

This paper studies a novel decomposition technique, suitable for blind separation of linear mixtures of signals comprising finite-length symbols. The observed symbols are first modeled as channel responses in a multiple-input–multiple-output (MIMO) model, while the channel inputs are conceptually co... View More