  Blind source separation (BSS), i.e., the decoupling of unknown signals that
have been mixed in an unknown way, has been a topic of great interest in the
signal processing community for the last decade, covering a wide range of
applications in such diverse fields as digital communications, pattern
recognition, biomedical engineering, and financial data analysis, among others.
This course aims at an introduction to the BSS problem via an exposition of
well-known and established as well as some more recent approaches to its
solution. A unified way is followed in presenting the various results so as to
more easily bring out their similarities/differences and emphasize their
relative advantages/disadvantages. Only a representative sample of the existing
knowledge on BSS will be included in this course. The interested readers are
encouraged to consult the list of bibliographical references for more details
on this exciting and always active research topic.
