ABSTRACT
Joa˜oMarcos Travassos Romano School of Electrical and Computing Engineering (FEEC), University of Campinas (UNICAMP)
Signal separation is one of the most important problems in the theory of signal processing and finds application in audio [46] and image processing [37, 60], and biomedical [63] and chemical [6, 26] analysis, to cite a few examples. Signal separation is also relevant in areas other than signal processing, such as machine learning [7] and statistical analysis [39]. It is also worth mentioning that several data analysis methods that are employed to deal with a large amount of data (big data) were initially developed or refined by researchers working on the problem of signal separation [7].
