McCoy, MichaelCevher, VolkanTran Dinh, QuocAsaei, AfsanehBaldassarre, Luca2013-12-192013-12-192013-12-19201310.1109/MSP.2013.2296605https://infoscience.epfl.ch/handle/20.500.14299/98316Source separation, or demixing, is the process of extracting multiple components entangled within a signal. Contemporary signal processing presents a host of difficult source separation problems, from interference cancellation to background subtraction, blind deconvolution, and even dictionary learning. Despite the recent progress in each of these applications, advances in high-throughput sensor technology place demixing algorithms under pressure to accommodate extremely high-dimensional signals, separate an ever larger number of sources, and cope with more sophisticated signal and mixing models. These difficulties are exacerbated by the need for real-time action in automated decision-making systems.text::journal::journal article::research article