Abstract
This project aims to study of techniques relating to the use of the sparty of the signal in problems commonly called as blind source separation problems, where is desired to retrieve the sources of a mixture, in an unsupervised manner. In this sense, the study has two fronts. The first one is to perform source separation using the information that the signals are sparse in some domain, wh…